\\n\\n
Released this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\\n\\nWe wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
Note: Edited in March 2021
\\n"}]',published:!0,mainMedia:{caption:"Highly Cited",originalUrl:"/media/original/117"}},components:[{type:"htmlEditorComponent",content:'IntechOpen is proud to announce that 191 of our authors have made the Clarivate™ Highly Cited Researchers List for 2020, ranking them among the top 1% most-cited.
\n\nThroughout the years, the list has named a total of 261 IntechOpen authors as Highly Cited. Of those researchers, 69 have been featured on the list multiple times.
\n\n\n\nReleased this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\n\nWe wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
Note: Edited in March 2021
\n'}],latestNews:[{slug:"webinar-introduction-to-open-science-wednesday-18-may-1-pm-cest-20220518",title:"Webinar: Introduction to Open Science | Wednesday 18 May, 1 PM CEST"},{slug:"step-in-the-right-direction-intechopen-launches-a-portfolio-of-open-science-journals-20220414",title:"Step in the Right Direction: IntechOpen Launches a Portfolio of Open Science Journals"},{slug:"let-s-meet-at-london-book-fair-5-7-april-2022-olympia-london-20220321",title:"Let’s meet at London Book Fair, 5-7 April 2022, Olympia London"},{slug:"50-books-published-as-part-of-intechopen-and-knowledge-unlatched-ku-collaboration-20220316",title:"50 Books published as part of IntechOpen and Knowledge Unlatched (KU) Collaboration"},{slug:"intechopen-joins-the-united-nations-sustainable-development-goals-publishers-compact-20221702",title:"IntechOpen joins the United Nations Sustainable Development Goals Publishers Compact"},{slug:"intechopen-signs-exclusive-representation-agreement-with-lsr-libros-servicios-y-representaciones-s-a-de-c-v-20211123",title:"IntechOpen Signs Exclusive Representation Agreement with LSR Libros Servicios y Representaciones S.A. de C.V"},{slug:"intechopen-expands-partnership-with-research4life-20211110",title:"IntechOpen Expands Partnership with Research4Life"},{slug:"introducing-intechopen-book-series-a-new-publishing-format-for-oa-books-20210915",title:"Introducing IntechOpen Book Series - A New Publishing Format for OA Books"}]},book:{item:{type:"book",id:"8148",leadTitle:null,fullTitle:"Investment Strategies in Emerging New Trends in Finance",title:"Investment Strategies in Emerging New Trends in Finance",subtitle:null,reviewType:"peer-reviewed",abstract:"Investment and portfolio strategies are some of the most exciting topics in finance. This book presents the most up-to-date topics and techniques in finance to facilitate the investment process for researchers and investors in selecting appropriate investment strategies with the emergence of new issues and concepts in financial areas. This book contains nine chapters divided into three sections: The first section, “Investment and Portfolio Strategies,” discusses different investment strategies in portfolio selection. The second section, “Behavioral Finance and Investment Decisions,” examines the application of behavioral finance in investment decisions. The last section, “Emerging New Trends in Finance,” includes some new and interesting finance topics that can depict our vision for the future arena of finance.",isbn:"978-1-83962-966-2",printIsbn:"978-1-83962-965-5",pdfIsbn:"978-1-83962-967-9",doi:"10.5772/intechopen.78097",price:119,priceEur:129,priceUsd:155,slug:"investment-strategies-in-emerging-new-trends-in-finance",numberOfPages:182,isOpenForSubmission:!1,isInWos:null,isInBkci:!1,hash:"3b714d96a68d2acdfbd7b50aba6504ca",bookSignature:"Reza Gharoie Ahangar and Asma Salman",publishedDate:"April 14th 2021",coverURL:"https://cdn.intechopen.com/books/images_new/8148.jpg",numberOfDownloads:4086,numberOfWosCitations:0,numberOfCrossrefCitations:0,numberOfCrossrefCitationsByBook:0,numberOfDimensionsCitations:1,numberOfDimensionsCitationsByBook:0,hasAltmetrics:1,numberOfTotalCitations:1,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"July 1st 2020",dateEndSecondStepPublish:"July 22nd 2020",dateEndThirdStepPublish:"September 20th 2020",dateEndFourthStepPublish:"December 9th 2020",dateEndFifthStepPublish:"February 7th 2021",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"91081",title:"Dr.",name:"Reza",middleName:null,surname:"Gharoie Ahangar",slug:"reza-gharoie-ahangar",fullName:"Reza Gharoie Ahangar",profilePictureURL:"https://mts.intechopen.com/storage/users/91081/images/system/91081.jpg",biography:"Reza Gharoie Ahangar is a Ph.D. student in Decision Science with a minor in Economics and a teaching fellow and research assistant in G. Brint Ryan College of Business, University of North Texas, USA. He is a member of the American Finance Association (AFA), Decision Sciences Institute (DSI), Production and Operations Management Society (POMS), Institute for Operations Research and the Management Sciences (INFORMS), and Association of Scientists, Developers, and Faculties (ASDF). Mr. Ahangar is a teaching assistant at UNT for six years and has authored eight books and book chapters as well as several journal and conference publications in finance and business analytics, with more than forty technical publications. His research works are cited by the top 0.1% of most-read authors in academia. He serves as an editorial board member for several scientific journals. His current research interests include investment, forecasting, optimization, FinTech, and the application of artificial intelligence in financial areas.",institutionString:"University of North Texas",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"2",totalChapterViews:"0",totalEditedBooks:"2",institution:{name:"University of North Texas",institutionURL:null,country:{name:"United States of America"}}}],equalEditorOne:{id:"206443",title:"Prof.",name:"Asma",middleName:null,surname:"Salman",slug:"asma-salman",fullName:"Asma Salman",profilePictureURL:"https://mts.intechopen.com/storage/users/206443/images/system/206443.png",biography:"Professor Asma Salman is a blockchain developer and Professor of Finance at the American University in the Emirates, UAE. An Honorary Global Advisor at the Global Academy of Finance and Management, USA, she completed her MBA in Finance and Accounting and earned a Ph.D. in Finance from an AACSB member, AMBA accredited, School of Management at Harbin Institute of Technology, China. Her research credentials include a one-year residency at the Brunel Business School, Brunel University, UK. Prof. Salman also served as the Dubai Cohort supervisor for DBA students under the Nottingham Business School, UK, for seven years and is currently a Ph.D. supervisor at the University of Northampton, UK, where she is a visiting fellow. She also served on the Board of Etihad Airlines during 2019–2020. One of her recent articles on “Bitcoin and Blockchain” gained wide visibility and she is an active speaker on Fintech, blockchain, and crypto events around the GCC. She holds various professional certifications including Chartered Fintech Professional (USA), Certified Financial Manager (USA), Women in Leadership and Management in Higher Education, (UK), and Taxation GCC VAT Compliance, (UK). She recently won an award for “Blockchain Trainer of the Year” from Berkeley Middle East. Other recognitions include the Women Leadership Impact Award by H.E First Lady of Armenia, Research Excellence Award, and the Global Inspirational Women Leadership Award by H.H Sheikh Juma Bin Maktoum Juma Al Maktoum.",institutionString:"American University in the Emirates",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"2",totalChapterViews:"0",totalEditedBooks:"2",institution:{name:"American University in the Emirates",institutionURL:null,country:{name:"United Arab Emirates"}}},equalEditorTwo:null,equalEditorThree:null,coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"64",title:"Business Economics",slug:"business-economics"}],chapters:[{id:"73563",title:"Implementation of a Value-Oriented Strategy of the Organization through a Portfolio of Projects",doi:"10.5772/intechopen.94034",slug:"implementation-of-a-value-oriented-strategy-of-the-organization-through-a-portfolio-of-projects",totalDownloads:572,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"The article deals with the methodological aspects of implementing the organization’s strategy through project portfolio management. The existing concepts, models, and methods of organizational development portfolios management are analyzed. The types of organizational cultures are considered in accordance with the evolutionary theory of values. The article shows that the success of the implementation of the organization’s development strategy is impossible without taking into account its dominant values. The organization development model links the spiral nature of systems development and the organization’s strategy in the form of a project portfolio. The model of the projects’ portfolio formation based on the definition of organizational values at the stages of the life cycle of the system is shown. The application of the competitive analysis method for the projects’ portfolio formation using the principles of value-oriented and reflexive management for making management decisions is presented.",signatures:"Valentyna Michaylovna Molokanova",downloadPdfUrl:"/chapter/pdf-download/73563",previewPdfUrl:"/chapter/pdf-preview/73563",authors:[{id:"326184",title:"Prof.",name:"Valentyna",surname:"Molokanova",slug:"valentyna-molokanova",fullName:"Valentyna Molokanova"}],corrections:null},{id:"75659",title:"Estimating Short-Term Returns with Volatilities for High Frequency Stock Trades in Emerging Economies Using Gaussian Processes (GPs)",doi:"10.5772/intechopen.96486",slug:"estimating-short-term-returns-with-volatilities-for-high-frequency-stock-trades-in-emerging-economie",totalDownloads:296,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"Fundamental theorem behind financial markets is that stock prices are intrinsically complex and stochastic in nature. One of the complexities is the volatilities associated with stock prices. Price volatility is often detrimental to the return economics and thus investors should factor it in when making investment decisions, choices, and temporal or permanent moves. It is therefore crucial to make necessary and regular stock price volatility forecasts for the safety and economics of investors’ returns. These forecasts should be accurate and not misleading. Different traditional models and methods such as ARCH, GARCH have been intuitively implemented to make such forecasts, however they fail to effectively capture the short-term volatility forecasts. In this paper we investigate and implement a combination of numeric and probabilistic models towards short-term volatility and return forecasting for high frequency trades. The essence is that: one-day-ahead volatility forecasts were made with Gaussian Processes (GPs) applied to the outputs of a numerical market prediction (NMP) model. Firstly, the stock price data from NMP was corrected by a GP. Since it not easy to set price limits in a market due to its free nature, and randomness of the prices, a censored GP was used to model the relationship between the corrected stock prices and returns. To validate the proposed approach, forecasting errors were evaluated using the implied and estimated data.",signatures:"Leonard Mushunje, Maxwell Mashasha and Edina Chandiwana",downloadPdfUrl:"/chapter/pdf-download/75659",previewPdfUrl:"/chapter/pdf-preview/75659",authors:[{id:"342259",title:"B.Sc.",name:"Leonard",surname:"Mushunje",slug:"leonard-mushunje",fullName:"Leonard Mushunje"},{id:"347042",title:"Mr.",name:"Maxwell",surname:"Mashasha",slug:"maxwell-mashasha",fullName:"Maxwell Mashasha"},{id:"352140",title:"Dr.",name:"Edina",surname:"Chandiwana",slug:"edina-chandiwana",fullName:"Edina Chandiwana"}],corrections:null},{id:"74254",title:"Firm-specific News and Anomalies",doi:"10.5772/intechopen.94286",slug:"firm-specific-news-and-anomalies",totalDownloads:368,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"This study investigates the relation between idiosyncratic volatility and future returns around the firm-specific news announcements in the Korean stock market from July 1995 to June 2018. The excess returns of decile portfolios that are formed by sorting the stocks based on news and non-news idiosyncratic volatility measures. The Fama and French three-factor model is also examined to see whether systematic risk affects news and non-news idiosyncratic volatility profits. The pricing of our news and non-news idiosyncratic volatility are confirmed in the cross-sectional regression using the Fama and MacBeth method. Market beta, size, book to market, momentum, liquidity, and maximum return are controlled to determine robustness. Our empirical evidence suggests that the pricing of the non-news idiosyncratic volatility is more strongly negative compared to the news idiosyncratic volatility, which is contrary to the limited arbitrage explanation for the negative price of the idiosyncratic volatility. We find that the non-news idiosyncratic volatility has a robust negative relation to returns in non-January months. Macro-finance factors drive the conditioned on the missing risk factor hypothesis, the pricing of idiosyncratic volatility. This study contributes to a better understanding of the role of the conditional idiosyncratic volatility in asset pricing. As the Korean stocks provide a fresh sample, our non-U.S. investigation delivers a useful out-of-sample test on the pervasiveness of the non-news volatility effect across the emerging markets.",signatures:"Hoang Van Hai, Phan Kim Tuan and Le The Phiet",downloadPdfUrl:"/chapter/pdf-download/74254",previewPdfUrl:"/chapter/pdf-preview/74254",authors:[{id:"327086",title:"Dr.",name:"Hai",surname:"Hoang Van",slug:"hai-hoang-van",fullName:"Hai Hoang Van"},{id:"332077",title:"MSc.",name:"Phan Kim",surname:"Tuan",slug:"phan-kim-tuan",fullName:"Phan Kim Tuan"},{id:"333775",title:"Dr.",name:"The Phiet",surname:"Le",slug:"the-phiet-le",fullName:"The Phiet Le"}],corrections:null},{id:"74079",title:"Financial Literacy as a Tool for Stimulating the Investment Behaviour of Rural Women: An Empirical Assessment",doi:"10.5772/intechopen.94532",slug:"financial-literacy-as-a-tool-for-stimulating-the-investment-behaviour-of-rural-women-an-empirical-as",totalDownloads:379,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"Clapping with two hands create the sounds. Similarly, investment and saving behaviour are considered as the most vital elements for economic growth of an individual. This paper is to evaluate the influence of financial awareness on saving and investment behaviour of rural females in India. Investment pattern serves as a link between savings and wants of the common people. Economic growth of any nation can be critically measured through capital accumulation and investment trends in financial markets. In the present study, the investment behaviour on effect of financial awareness of 335 rural women in Jalandhar district has been evaluated. The relationship of financial literacy and saving & investment behaviour is also evaluated in the context of five basic domains of financial behaviour, such as demographic variables, financial control, financial planning, financial product selection and financial literacy. Results of the study revealed that rural women are conscious about the availability of various investment avenues in the market, but their investment pattern is still followed by some factors like familiarity, safety and assured returns, etc. This study suggests policymakers to focus on financial awareness rather to focus only on financial literacy.",signatures:"Bhaskaran Rajan, Navjot Kaur, Harpreet K. Athwal, Afzalur Rahman and Velmurugan P.S.",downloadPdfUrl:"/chapter/pdf-download/74079",previewPdfUrl:"/chapter/pdf-preview/74079",authors:[{id:"326214",title:"Dr.",name:"Bhaskaran",surname:"Rajan",slug:"bhaskaran-rajan",fullName:"Bhaskaran Rajan"},{id:"336219",title:"Ms.",name:"Navjot",surname:"Kaur",slug:"navjot-kaur",fullName:"Navjot Kaur"},{id:"336220",title:"Ms.",name:"Harpreet K",surname:"Athwal",slug:"harpreet-k-athwal",fullName:"Harpreet K Athwal"},{id:"336221",title:"Dr.",name:"Afzalur",surname:"Rahman",slug:"afzalur-rahman",fullName:"Afzalur Rahman"},{id:"336223",title:"Dr.",name:"Velmurugan",surname:"P.S",slug:"velmurugan-p.s",fullName:"Velmurugan P.S"}],corrections:null},{id:"73794",title:"Accounting Information Quality and Investment Decisions",doi:"10.5772/intechopen.93980",slug:"accounting-information-quality-and-investment-decisions",totalDownloads:499,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"Accounting information quality has been said to play an important role in reducing information asymmetry. Thus, firms with high accounting information quality may enhance more investors’ decisions. This paper aims to empirically examine the association between accounting information quality and investment decisions among firms in Tunisia. The sample of this study consists of 50 firms listed on the Tunis Stock Exchange covering 2012 to 2016. The findings imply that accounting information quality is significantly negatively related to investment inefficiency. The inclusion of control variables and the use of alternative models to measure accounting information quality provide consistent findings. This paper has several important contributions. First, this paper provides new empirical evidence in an emerging market. Although emerging markets make up the vast majority of economic activity around the world, they have received limited attention in academic research. Second, this paper can also help researchers to better understand and realize the governance role of accounting information, and push them to investigate the other role of accounting information deeply and broadly.",signatures:"Nouha Khoufi",downloadPdfUrl:"/chapter/pdf-download/73794",previewPdfUrl:"/chapter/pdf-preview/73794",authors:[{id:"318026",title:"Dr.",name:"Nouha",surname:"Khoufi",slug:"nouha-khoufi",fullName:"Nouha Khoufi"}],corrections:null},{id:"74200",title:"Digital Transformation of World Finance",doi:"10.5772/intechopen.93987",slug:"digital-transformation-of-world-finance",totalDownloads:849,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:1,abstract:"The boundary between the physical and a virtual world is not clearly visible nowadays, the 4.0 industry utilizes artificial intelligence, distributed ledger technology, quantum computing, advanced visualization and other advanced technologies. The surge of capital flows in financial technology is visible wherever we look. Classical businesses face a challenge to connect and create partners with the companies that are technology savvy because this may impact their future success. The strategy for digital business must be thought over very thoroughly since it represents the success threshold in contemporary digital environment. The classic banking system faces the threat or opportunity of an open banking system and banks are forced to be prepared to offer next generation services benefiting from third party channels. The short history on the banking industry including digital banking along, with fintech as a financial institution showing its power to compete sophistically, will shift the studied digital transformation phenomenon into a dilemma whether we indeed face a cashless society challenge, whether the governments should start to accelerate their decisions on Central Bank Digitalized Currency – CBDC or how far several countries already are to become a cashless society. At last, potential security, trust and fraud issues will close this chapter.",signatures:"Darina Saxunova and Corlise Liesl Le Roux",downloadPdfUrl:"/chapter/pdf-download/74200",previewPdfUrl:"/chapter/pdf-preview/74200",authors:[{id:"318760",title:"Dr.",name:"Darina",surname:"Saxunova",slug:"darina-saxunova",fullName:"Darina Saxunova"},{id:"322223",title:"Dr.",name:"Corlise",surname:"Le Roux",slug:"corlise-le-roux",fullName:"Corlise Le Roux"}],corrections:null},{id:"74563",title:"The Trouble with Minding Markets: Emotional Finance in Context",doi:"10.5772/intechopen.95094",slug:"the-trouble-with-minding-markets-emotional-finance-in-context",totalDownloads:452,totalCrossrefCites:0,totalDimensionsCites:1,hasAltmetrics:1,abstract:"The term ‘Emotional Finance’ normally denotes a methodological approach advocated by Richard Taffler and David Tuckett, which they intended as a challenge both to Behavioral Finance and to mainstream finance and economics. In the wake of the Great Financial Crisis, Emotional Finance received a warm reception from regulators, the financial press, and the CFA Institute. Nearly a decade on, their ideas have largely failed to achieve traction in the academic literature, and continue to struggle to find empirical validation. Their approach is essentially an application of Kleinian psychoanalysis to financial markets, albeit without the terminological rigor that psychoanalytic practitioners might expect. Because their approach is inherently interdisciplinary, it has rarely been subject to scrutiny, as few psychoanalytic commentators feel qualified to comment on financial markets, and fewer finance academics feel comfortable commenting on the psychoanalytic theory. This chapter characterizes the main theoretical claims of Emotional Finance, and subjects each of them to scrutiny, finding them largely untenable. Although financial bubbles are commonplace and emotional responses to markets unremarkable, the subsidiary arguments advanced by advocates of Emotional Finance to support their primary claims are found wanting. The interpretative strategy of Emotional Finance is fundamentally flawed. Although it is fruitful to analyze the role of emotions in financial markets, more precise, rigorous and realistic approaches to these problems are needed.",signatures:"D’Maris Coffman",downloadPdfUrl:"/chapter/pdf-download/74563",previewPdfUrl:"/chapter/pdf-preview/74563",authors:[{id:"325580",title:"Prof.",name:"D'Maris",surname:"Coffman",slug:"d'maris-coffman",fullName:"D'Maris Coffman"}],corrections:null},{id:"75019",title:"From Money-Centered to People- and Planet-Centered Ledger Economics: Leveraging the Hidden Wealth of Underutilized Productive Capacity",doi:"10.5772/intechopen.95562",slug:"from-money-centered-to-people-and-planet-centered-ledger-economics-leveraging-the-hidden-wealth-of-u",totalDownloads:398,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:1,abstract:"This chapter introduces a for-profit way to repair persistent problems in free enterprise economics and commerce. Today, continuous advances in technology and human capabilities fail to produce a commensurate, across-the-board rise in the standard of living and quality of life for households and communities. Instead, win-lose competition over money and proliferation of competitive duplication put downward pressure on profits, wages and the purchasing power of families. Despite an ever-growing economic pie, everyone does not enjoy a secure income. This is a money issue, not a productivity issue. Eventually, so-called equilibrium is achieved when businesses downsize, merge and/or fail. But businesses fail while there are still unmet needs for their products and services revealing a missed business opportunity. An innovative alternative is to monetize and market currently underutilized productive capacity using a new form of business scrip termed Ledger Dollars (L$) L$ increase purchasing power within a cooperative network of business and community stakeholders. L$ are analogous to loyalty rewards—backed by unsold products and services—but reward more than consumer spending and enhance cooperation and eco-sustainability. Ledger Dollars constitute a new financial asset class designed to improve traditional fiat-centered economics and advance the now popular Triple-Bottom-Line of People, Planet and Profits.",signatures:"Thomas Fisher and Joel Hodroff",downloadPdfUrl:"/chapter/pdf-download/75019",previewPdfUrl:"/chapter/pdf-preview/75019",authors:[{id:"335200",title:"Prof.",name:"Tom",surname:"Fisher",slug:"tom-fisher",fullName:"Tom Fisher"},{id:"335624",title:"Mr.",name:"Joel",surname:"Hodroff",slug:"joel-hodroff",fullName:"Joel Hodroff"}],corrections:null},{id:"73041",title:"Tunisian Fintech: An Ecosystem under Construction - Can COVID 19 be the Fuel to Ignite the Construction of Tunisian Fintech?",doi:"10.5772/intechopen.93427",slug:"tunisian-fintech-an-ecosystem-under-construction-can-covid-19-be-the-fuel-to-ignite-the-construction",totalDownloads:275,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"Fintech leads the most powerful technology and finance in the industry. Appearing recently in the newspapers, this term describes the disruptive challenge in the financial sectors. Fintech has primarily emerged in the world, and then Europe followed the lead before it starts in Tunisia. Although Fintech attracts the customers through the innovation and the technology, it worries users because of the absence of the intermediaries. Fintechs create metamorphosis in the financial field of digital disruption and really shake up the reserved world of banking services, savings, means of payment, and financing. The main idea of this chapter is to describe the Fintech ecosystem in Tunisia. It is about situating the concepts around Fintech by studying the reasons for its emergence and its business segments. Then, the analysis provides the elements of the Tunisian ecosystem of Fintech, the issues, and the challenges. 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In the case map is created by someone else than a professional cartographer the process of making maps suffers by considerable degree of subjectivity. Despite the several-hundred-years effort of objectification of map making process, cartographers sometimes have difficulties to imagine the way how the user will use the map, especially the way of map perception, reading, analysis and interpretation [1]. Cartographers often lack the reasoning for the decision-making in balancing the map design and layout, designing a map symbology, choosing the cartographic method of visualization or level of generalization [2]. For these reasons it is necessary to carry out a research on user perception of maps.
According to Golledge and Stimson [3] the perception is function of a cognition (thinking), which can be understood as a way of encoding, storing and integrating information into existing knowledge. In order to study reading and using maps the perception is very important, because it helps to structure the area depicted on the map.
Several approaches of the research on user perception and evaluation of the applicability and effectiveness of maps exist. The eye-tracking is one of the rarely used. Based on results of eye movements analyses, many questions, that were not yet been discussed in cartography adequately, can be answered. For example, how users obtain information from the map, what is the strategy of map reading, how often users look to the map legend, how easily can be map symbols interpreted, etc. Analyses of maps usability can help in optimizing the map symbology, composition or design, so the new maps can be created in order to respect the specific user\'s requirements.
The main sensory channel for cognitive processes is vision [4]; therefore the research on map visual perception is necessary
The term usability is defined as “the effectiveness, efficiency, and satisfaction with which specified users achieve specified goals in particular environments” [5]. Satisfaction quantifies subjective users’ impressions dealing with such indicators as operability and learnability of a given task. Efficiency and effectiveness metrics are objective performance measures of speed and accuracy. [6]
Nielsen [7] defines usability as a quality attribute that assesses how are user interfaces easy to use. Usability can reveal qualities of the product as well as lack of its functionality, which usually arises during the design phase of a product. [8] The assessed product can be an image, web page, text or a map. To be able to derive qualitative or quantitative measures of the user experience (usability), a number of evaluation methods is possible to use. Li et al. [9] mentions these methods of usability evaluation:
focus group studies,
interview,
direct observation,
think-aloud protocol,
retrospective think-aloud protocol,
screen capture,
eye-tracking.
Each method has its advantages and disadvantages. Frequently a combination of methods is used in the research. For example, see [10, 11, 12].
The method of focus group studies and interview are based on direct contact with the user. They are based on a targeted questioning and recording of discussions and responses of individuals or groups.
The method of direct observation leads to the detection of subject’s behaviour in its natural environment without any interference by the observer. For observation various technical utilities, especially recorders, cameras and camcorders, are used. Direct observation sometimes leads to problems in professional ethics, especially when observed people are not acquainted with the fact that they are the subject of observation.
A frequently used method is "Think-Aloud". Its principle lies in the verbalization of the process performed by the user during solving a specific problem. Participating test subjects verbally describe the process of solving specific tasks and also their feelings [13]. This method is very quick and inexpensive, nevertheless, participant is not aware of all cognitive processes, and not all processes can be simply expressed in words. This method is very subjective in the term of observed subjects, who describe their experiences, and also in the term of the evaluation of their response. Detail usage of this method is discussed by Somersen [14]. Similar to the "Think-Aloud" method is a retrospective variant, when the subject describes a workflow after the task is completed.
The screen capture method of usability study was in the field of cartography and GIS used for example in Haklay et al. [15]. They assessed the usability of GIS software using screenshots that users had posted. On these images the windows of application were captured in the middle of the workday and composition of opened toolbars was analysed.
The last mentioned method, which is in the focus of this chapter, uses a device to monitor eye movements. Eye-tracking method can be considered to be objective, because it is not influenced by the opinion of the monitored person [16].
Eye-tracking technology is based on the principles of tracking movements of human eye while perceiving the visual scene. The measurement device used for measuring eye movements is commonly known as eye-tracker. [17]
When users are searching for the information in unknown environment (text articles, web pages, maps etc.), typically two types of processes occur: a perceptual one (the user should locate/notice the target) and a cognitive one (the user cognitively computes the visual input and understands the function of the target). Eye movement analysis provides valuable quantitative and qualitative information on both stages of visual search. [16]
Qualitative information describes the way in which user explores the stimuli. They can reveal areas of maximum interest, disruptive elements and strategy of searching for a specific element. Quantitative information describe the time spent by observing a particular phenomenon, speed of identifying information and several derived gaze data metrics.
In general, there are two types of eye movement monitoring techniques: those that measure the position of the eye relative to the head, and those that measure the orientation of the eye in space, or the “point of regard”. [18]
According to Duchowski [6], methods of eye movement tracking can be categorized into three main groups:
electrooculography (EOG),
scleral contact lens/search coil
remote eye-tracking.
EOG is a method which was popular about 40 years ago. Its principle lies in measuring of skin’s electric potential differences of electrodes placed around the eye. By recording quite small differences in the skin potential around the eye, the position of the eye can be tracked. [19]
The method of scleral contact lens or search coil uses an attachment to the eye, such as a special contact lens with an embedded mirror or magnetic field sensor, and the movement of the attachment is measured with the assumption that it does not slip significantly as the eye rotates. Both mentioned methods measure eye position relative to the head and they are not generally suitable for point of regard measurements.
Currently the most exploited eye movement measurement method is remote eye-tracking, also called the Pupil and Corneal Reflexion method. It relies on the measurement of visible features of eye, e. g. pupil, iris-sclera boundary and corneal reflection of a closely situated direct light source (often infra-red). The reflected light is recorded by a video camera or specially designed optical sensor. The information is then analyzed to extract eye rotation from changes in corneal reflections. The resulting corneal reflexion is also known as “glint” or the 1st Purkinje reflexion (P1) [20].
There are at least four Purkinje images (figure 1). The first Purkinje image (P1) is the reflection from the outer surface of the cornea. The second one (P2) is the reflection from the inner surface of the cornea. The third one (P3) is the reflection from the anterior surface of the lens and the last one (P4) is the reflection from the posterior surface of the lens. [21]
Eye position and gaze direction are estimated using information from an image sensors picking up reflection patterns on the cornea and other information points. By image analysis and mathematics a gaze point on a reference plane can be calculated.
Four Purkinje images - the reflection (L) on different parts of the eye: P1 from the outer surface of the cornea, P2 from the inner surface of the cornea, P3 from the anterior surface of the lens, P4 from the posterior surface of the lens. [
Human eyes can only perceive a limited fraction of the visual world at one point in time. Both eyes together provide a roughly elliptical view of the world which is approximately 200 of visual angle wide and 130 high. [23]
However not all parts of this view are perceived with equal acuity because the retina of the eye has a varying structure and composition. The fovea, part of the retina, is responsible for sharp central vision (also called foveal vision), which is necessary during reading, watching television or movies, driving, and any activity where visual detail is of primary importance. The really high-resolution area covers only about 2 of the visual field. The fovea is surrounded by the parafovea belt and the perifovea outer region [24]. The vision supported by this part of the eye is so called peripheral vision, which in comparison with foveal vision seem to be blurred [25].
Eye movement is not smooth. The eye moves in spurts and rests between each movement. During a fixation, eyes are relatively steadily looking at one spot in the visual scene. In order to achieve the most accurate visual impression of a visual scene, eyes move rapidly in mostly ballistic jumps (i.e., saccades) from one spot to another. Among those rather large saccadic eye movements that an attentive person can easily observe from his or her own experience, there are three other, much shorter eye movements, i.e. tremor, drift, and microsaccades. Their purpose is to avoid saturation effects of the visual receptors on the retina which would lead to fading perception. However, people are unaware of those tiny movements and they can be hardly detected by state-of-the-art unobtrusive eye-trackers. [23]
The analysis of fixations and saccades requires some form of identification that results from the processing of raw eye-movement data. Fixation and saccades identification is an inherently statistical description of observed eye movement behaviours.
It is important to define the exact detection algorithm for eye movement analysis, because different parameterizations of an algorithm might lead to different results [26]. Plenty of algorithms exist, but mostly used are I-VT and I-DT. In the case of the I-VT (Velocity-threshold fixation identification) algorithm, the eye-velocity value is compared to the threshold. If the sampled velocity is smaller than the threshold, the corresponding eye-position is marked as a part of a saccade, otherwise the eye-position sample is assigned to be a part of a fixation. The I-DT (Dispersion-Threshold Identification) algorithm takes into account the close spatial proximity of the eye position points in the eye movement trace. [27]
Based on statistical analysis of fixations, saccades, their mutual relationship and other characteristics, it is possible to identify certain attributes of respondent behaviour.
For example, long average fixation durations can be interpreted in two different ways as either: (1) the user has difficulties extracting information; or (2) the user is more engaged with interpreting a representation [28]. Hence, distinguishing between the two is case specific.
Saccade/Fixation ratio describes the ratio between search activity (represented by the number of the saccades) and processing activity (represented by the number of the fixations). A small saccade/fixation ratio indicates that the user is spending more “cognitive resources” on the task and less cognitive resources on gathering important background information [16].
A large number of saccades indicate a low degree of search efficiency or poor interface layout. User roams from place to place finding no satisfactory answer. Saccadic amplitude together with ScanPath duration and ScanPath length can refer to a strategy of user cognition style, or quality of examined layout [23].
According to fundamentals of examined problem it is necessary to use a proper eye-tracker. Individual devices differ from one another by precision given by the spatial resolution and accuracy of the point of view. An important parameter is the time resolution, which is expressed in hertz (Hz). Department of Geoinformatics, Palacký University in Olomouc owns static SMI RED 250 Eye-tracker (figure 2) with sample frequency of 120 Hz, so data are recorded approximately every 8 ms.
Device parameters (resolution, mobility) must respect the purpose of the application for which the device is used. Research on sportsmen or driver concentration, or arrangement of goods on the shelves requires a mobile device mounted on the head of the subject (the headset). Evaluation of stimuli on the computer screen or television will rather use the static device.
Laboratory setup with static remote SMI RED 250 eye-tracker at Department of Geoinformatics, Palacký University in Olomouc.
Anatomy of the human eye is known for hundreds of years, but scientific interest in the processes of visual perception began only during the 19th century [29]. After the Second World War, one of the first measures of gaze direction was done in 1947. The research was focused on the behaviour of military pilots during aircraft landing. It was carried out by analyzing the video with more than 500 000 film frames [30].
With the improvements of the eye-tracking technologies, eye-tracking tools gain their impacts on the usability field and nowadays they are accepted as a tool to improve computer interfaces [11]. Currently eye-tracking is utilizable in many areas of human activity - psychology, medicine, marketing, commercial, etc.
One of the research goals of contemporary cartography is the investigation of perception processing of maps, not only from the commercial point of view, but also in planning, crisis management and rescue operations.
On the one hand, map is very important carrier of information that readers need to assimilate as quickly as possible and undistorted, so cartographers labour for its highest possible accuracy. On the other hand map design and its visual appearance are determinants of user popularity.
In both cases, the key to success is to answer a number of highly debated issues - for example how readers follow the information in the map, in which order and how fast they read the information, which compositional elements they read earliest, how many times they look back to the map legend, which map elements are easy and which difficult to handle, what affects the legibility of the map, etc. These findings can facilitate to evaluate the quality of the map composition, symbology and map content, and thus define the methodology for creating maps that will correspond with requirements of users.
With respect to the investigatory device, maps evaluation using eye-tracking technology is available both for analog maps and the digital cartographic outputs.
One of the first publications focused on the application of eye-tracking methods in cartography is Eye Movement Studies in Cartography and Related Fields [29], in which the author summarizes the results of various studies in the late 80’s of the 20th century. It deals with the general knowledge of tracking of the human eye, studies on evaluation of specific graphic outputs, emphasizing the impossibility to generalize the findings in the behalf of dissimilar studies. He described several universal conclusions and highlighted the importance of distinguishing between user groups according to their age and education.
It is possible to separate the evaluation of information content of maps from the map design. However complex evaluation is more logical, because the information value of maps (e. g. content) can be increased or degraded by technical or artistic design.
An example of a complex evaluation of maps was presented by Alacam and Dalci [11], who compared four map portals (Google Maps, Yahoo Maps, Live Search Maps and MapQuest). Results of eye-tracking experiment revealed considerable variance in the strategy of solving particular quest in different map portals environment. Basic assumption of this study was that the lower the average duration of fixation, the more intuitive the environment. It was found, that users average fixation duration at the Google Map stimuli is statistically significantly lower, than in the case of other evaluated portals.
Coltekin et al. [31] in their research deal with the evaluation of user interface of cartographic software. Test subjects were ask to create a complex map in two different map applications. The study was designed as a between-subject experiment and eye movement analysis was coupled with traditional usability metrics to identify possible design issues. Initial analyses included statistical tests for satisfaction, effectiveness (accuracy of response), and efficiency (response speed).
In a different study the same authors [32] deal with a generic evaluation approach combining theory and data-driven methods based on sequence similarity analysis. The approach systematically studies users’ visual interaction strategies when using highly interactive map interfaces. The result was that the participants generally follow a sequence that agrees with the hypothetical sequence representing user’s strategies.
Another application of eye-tracking in cartography appears in the study of Opach and Nossum [33] where authors have explored the suitability of eye-tracking on two different semistatic and traditional cartographic animations of temperature and weather. Contrary to the author’s previous web based experiment, analysis of the eye-tracking data revealed that the viewing behaviour were surprisingly similar. Three of the metrics used (fixation counts, observation length and time to first fixation) indicated very similar viewing strategies and behaviour during viewing different kind of cartography animations.
Fuhrman, Tamir and Komogortsev [34] have dealt with an assumption that three-dimensional topographic maps provide more effective route planning, navigation, orientation, and way-finding results than traditional two-dimensional representations. The eye-tracking metrics analysis indicates with a high statistical level of confidence that three-dimensional holographic maps enable more efficient route planning.
Popelka and Brychtova [35] used eye-tracking together with questionnaire investigation for evaluation user’s attitudes toward interactive methods of virtual geovisualisation of changes in the city built-up area. Five approaches of visualization were assessed - textual description of changes, comparison of historical and recent pictures or photos, overlaying historical maps over the orthophoto, enhanced visualization of historical map in large scale using the third dimension and photorealistic 3D models of the same area in different ages.
Technologies and methods of eye-tracking have not yet been fully utilized in cartography, even though the possibilities are wide. Cartographic research in the field of eye-tracking currently focuses explicitly on improving the user quality of maps. Future potential expansion of eye-tracking technology can be seen in the activity of the International Cartographic Association, especially the Commission on Use and User Issues [36] and the newly established Commission on Cognitive Issues in Geographic Information Visualization [37].
Results of eye-tracking measurements are presented as a text file containing a timestamp and a number of specifications describing coordinates of the point of regard, the pupil size, the angle of the eye position etc. First of all, it is necessary to classify the data, with a specified algorithm, as fixations and saccades (see chapter Eye movements and algorithms of their detection). Then, the data are even visualized in a suitable way, or can be statistically analysed.
There are several basic methods of the eye-tracking data visualization. Holmqvist et al. [20] present the main techniques of gaze data visualization as follows: ScanPath (GazePlot), Attention (Heat) maps and the AOI (Area of Interest) Analysis.
Following chapters will present different possibilities of visualization and eye-tracking measurements on concrete examples from cartography. In this way, methods of eye-tracking will be shown. All examples are based on source data, which are results of several authentic experiments on cartography rules evaluation.
All presented case studies were performed using the SMI RED 250 remote device with the sampling frequency of 120 Hz. Eye position was measured every 8ms.
Respondents were chosen from university students of Geoinformatics and Cartography and also from other studying fields which are not related to cartography.
ScanPath is defined as a route of oculomotor events through space within a certain time-span [20]. Thanks to ScanPath, it is possible to display raw data as well as calculated fixations and saccades. Circles of different sizes represent fixations (their radius corresponds with their length) and lines which connect the circles represent saccades [38].
When a larger amount of data is displayed, this method becomes restraining. Overlapping parts of individual fixations cause that it is not possible to identify their number visually. Figure 3 shows an example of a ScanPath. Respondents were asked to find the highest peak on one of the maps. The aim of this experiment was to compare two types of visualization - perspective 3D display and a classical orthogonal map supplemented with the shading. Raw data are displayed on the left of the picture, fixations and saccades on the right. From both pictures, it is evident that this particular respondent preferred the three-dimensional visualization. His answer is displayed by a red dot which represents the mouse-click.
ScanPath showing raw data (left) and fixation and saccades (right)
There is a great need for robust and general method for ScanPath comparison existing in many fields of eye-tracking research [39]. Privitera and Stark [40] introduced ScanPath comparison based on string editing. Fixations are replaced with characters standing for the AOI’s they hit and the ScanPath is represented as character string. It is one of the first methods comparing not only the loci of fixations, but also their order. The principle of this method is the transformation of two-dimensional data (X, Y coordinates of fixations) to one-dimensional data (character string). Each ScanPath is recorded as a string of letters where each letter corresponds to the area of a current fixation location.
Two or more character strings are then compared and their similarity is measured. Defined by an optimization algorithm, string editing assigns a unit value to three different character operations: deletion, insertion, and substitution. Characters are then manipulated in order to transform one string into another and character manipulation values are tabulated [41]. String edit algorithm determines the number of operations needed to transform one sequence to another - the operations being insertions, deletions and substitutions. The calculated metric will be a measure of how different two sequences are. This method uses the Levenshtein algorithm to produce a string-edit distance between each sequence [42]. Example of the Levenshtein distance measure is in the figure 4. Character string comparison methods are widely used in bioinformatics to align DNA and protein sequences.
Result of the Levenshtein distance measure between group of eleven geoinformatics while observing a map. Gridded AOI with grid of 5*5 cells was used
Depending on specific tasks, it is important to distinguish between gridded AOI and semantic AOI approaches. When using the Gridded AOI, stimulus is split into areas of equal size (rectangles) with no relation to semantics. The second approach, Semantic AOI uses the Area of Interest which corresponds to specific areas in stimuli. In cartography, Semantic AOI is generally more advantageous because it corresponds to map composition elements like title, legend, etc.
Attention maps, also called HeatMaps, are used for visualization of quantitative characteristics of the user’s gaze. Thanks to attention maps, it is possible to identify to which area user pay attention and which are rather neglected. In eye-tracking, HeatMaps enable the creation of a brief summary of areas which are in the spotlight and so they are needed to be analyzed more thoroughly. Except of the function of visualization, they might be used as a background for AOI creation. When plotting AOI around a small object, fixations of some of the respondents could be noted outside the created AOI because of inaccurate measurement or calibration deflection. By means of HeatMaps, it is possible to get an overview of possible measurement inaccuracies and so to adapt the Area of Interest.
HeatMaps produced by SMI software BeGaze are created in two steps. The software first scales each pixel in proportion to the durations of all fixations landing on it. Typically, this results in a very sparse “Fixation Hit Map”, since only a small proportion of the pixels have been “hit”. In next step, the hit map is convolved with a Gaussian kernel with certain width. A wider kernel gives a smoother, less pointy appearance to the attention map [20].
HeatMap created from fixations of seven respondents
Areas of Interest (AOI) are regions in the stimulus which the researcher is interested in. The most important AOI metric is the dwell time defined as one visit in AOI, from entry to the exit. The dwell has its own duration, the starting point, the ending point, dispersion etc. In several ways, it is similar to a fixation, but it is of much larger entity, both in space and time [20]. It is also possible to follow the order in which the respondent looked at particular areas or the transition, the movement from one AOI to another etc.
In cartography the Areas of Interest analysis can be used advantageously. AOI analyses are based on evaluation of concrete parts of a map (legend, scale, title, specific phenomena in the map, etc.). When evaluating influence of a composition on the map reading, the application of AOI is very useful. By indicating and evaluating particular compositional elements as AOI, several characteristics can be find out - e.g. for how long the respondent was observing the given area, in which order he visited them etc.
The results can be visualized with use of the Sequence Chart, which displays observed areas in different colours on a timeline. Figure 6 shows results of an experiment, whose objective was to reveal differences in reading of a simple map by a group of students of cartography and cartography amateurs. Three different map compositions are displayed in figure 6. Maps (presented in the first row of figure 6) were projected in 5s intervals during which the respondents have to observe maps without answering any question. The second raw in the Figure 6 shows a sequence chart for a group of students of Geoinformatics and cartography, who have attended several cartography courses. The last row represents data given by cartographic amateurs, students of psychology, zoology etc.
Each stimulus was preceded by a short cross used to locate beginning of all trajectories at the same place (in the middle of the picture). That is why the AOI representing the map field is always pictured in first 500 ms. After this time; most geoinformatics students automatically read the title of the map, or rather noted fixations representing it in AOI. Cartographic amateurs did not do so. It is evident especially in the first column, where the stimulus was the “ideal” map composition [43]. In following columns, the composition was not in accordance with cartographic rules. Despite this fact, students of geoinformatics were trying to find the title of the map.
Sequence chart visualization. Sample data of the Esri were used for the creation of stimulus maps
The Sequence Chart is illustrative and easy to interpret, but it is necessary to evaluate the data by statistical approach.
The objective of the statistical hypotheses testing is to evaluate the data gained from experiments and the suitability of the purpose given before the testing. Statistical hypothesis is a certain purpose about the distribution of accidental quantities of a basic file.
In statistics, the result is called statistically significant when it is unlikely to have occurred by chance alone, according to a pre-determined threshold probability, the significance level. Critical tests of this kind may be called tests of significance. When such tests are available, we can say whether the second sample is/ is not significantly different from the first one [44].
From a more detailed evaluation of different types of basic eye movements (fixations and saccades), or gaze data metrics such as dwell time, it is possible to deduce a series of numeral metrics suitable for other statistical testing.
Different composition perception with two different groups of map users (experienced cartographers and non-cartographers) was verified by the testing of measured results by a two sample t-test, which is a method of mathematical statistics making possible to verify the null hypothesis that the means of two normally distributed populations are equal.
Differences of the mean dwell time of two groups of users were tested on particular Areas of Interest of the map list - title of the map, the map, the legend, the imprint and secondary maps. A zero hypothesis H0 was tested: mean values of particular choices are the same. Concrete results are illustrated in table 1.
t | df | p-value | alpha | mean of carto [ms] | mean of non-carto [ms] | statement | |
Main map | -2,2189 | 33,374 | 0,0334 | 0,05 | 2375,58 | 3080,11 | Rejecting H0 |
Map heading | 3,7546 | 51,501 | 0,0004 | 0,05 | 631,27 | 230,78 | Rejecting H0 |
Additive map 2 | 0,0963 | 36,715 | 0,9238 | 0,05 | 387,84 | 376,47 | Fail to reject H0 |
Additive map 1 | -0,1874 | 40,321 | 0,8523 | 0,05 | 260,59 | 284,08 | Fail to reject H0 |
Masthead | 1,1999 | 36,275 | 0,2380 | 0,05 | 127,27 | 57,57 | Fail to reject H0 |
Map legend | 0,2211 | 45,702 | 0,8260 | 0,05 | 99,50 | 84,33 | Fail to reject H0 |
By comparing the mean dwell time in particular AOI it is evident that both groups spent most time on the main map field. Extremely long time was noticed at students of cartography in AOI covering the map title. The same AOI was on the 4th position with non-cartographers.
The t-test result disproved the zero-hypothesis saying that the values of the mean dwell time were the same with AOI map heading and the main map field. The visit rate of the main map field was significantly higher with non-cartographers. On the contrary, the map title visit rate was higher with cartographers. There was no difference of the dwell time statistically proved with other observed AOI.
Data sets created as a result of the eye-tracking are often very large, which limits their visualization possibilities by means of methods mentioned above. When displaying larger data sets with the ScanPath visualization, overlapping parts are created and the follow-up interpretation of results is not possible. The cause of this problem is displaying of three-dimensional data (X, Y, time) into two-dimensional space (X, Y).
With relatively smaller data sets, it is possible to use colours to differentiate fixations according to their order. During the visualization, transparency can be used to identify overlapping fixations.
Another possible solution is to neglect the time. Two dimensional data (X, Y) can be then displayed by means of HeatMap method which displays only the number of fixations, without their order. However, the loss of the information can make the analysis of results impossible in many cases.
Thanks to Space-Time-Cube (STC) which is the most important element of the Hägerstrand time-space model, the data can be effectively visualized without neglecting any of the data files [45].
In its basic appearance, the cube has on its base a representation of the geography (X, Y), while the cube’s height represents time (Z) [46]. As it is evident from figure 7, if the location of the observed object or phenomenon does not change in time, the line is always perpendicular to the base of the cube. The steeper the line between two vertices, the slower the change in the position of observed object/phenomenon. Today there are softwares that automatically creates a Space-Time-Cube from the data in the database. It is also important that it is possible to interactively rotate the cube and select the best perspective for data analysis.
By means of Space-Time-Cube, it is possible to portray any space-time data. These might be for example data recorded by a GPS device, statistic data containing information about location and time, or data detected with eye-tracking.
In this case, coordinates X and Y describe the distribution of fixations in space, and time is described by the axis Z. Thanks to Space-Time-Cube it is possible to reveal different behaviour of particular users. On the other hand, ScanPath cannot identify in which direction the user moved when reading the picture. Up to now, application of Space-Time-Cube with analysis of eye-tracking data was examined only by [9, 47, 48].
Space-Time-Cube visualization is presented in this chapter on testing the user’s perception of the map legend. Respondents were given the task to mark flax growing areas on the map. The aim of the test was to find out the proportion of respondents (%), which use the map legend to fulfil the task. Trajectories of eye movements of two respondents are displayed in figure 8. It is evident that during the first two second of solving the task, the respondents followed almost the same gaze trajectories. One of the first fixations of both respondents are localised in the legend. Then, the respondents tried to answer the given question and started to explore the map.
Time-space data displayed by means of Space-Time-Cube.
Use of Space-Time-Cube visualization for investigation of ScanPaths from two respondents
Up to now, technologies and methods of eye-tracking in cartography were not fully utilized despite their great possibilities in cartography. A cartographical research in the field of eye-tracking recently focuses on the improvement of the user quality of a map, particularly on the map composition improvement. However, there is a question how to define the user quality of a map or a “good” map composition. In the main, the user has to be able to interpret the content of the map correctly and accurately. A correct but a too long interpretation of a map cannot be considered as a sign of high user quality of the map. A method of the map content interpretation or the way of internal recording and later recalling of the information are related to its structure of cognitive and mental maps [49, 50, 51]. That is why the improvement of the user quality of a map is considered necessary if we want to perceive into cognitive processes going on during work with maps. In this field, eye-tracking can enable the user to do a research of cognitive maps. Nevertheless, it is necessary to respect the fact that maps have its own special dimension which cannot be neglected during the research because it is essentially connected with the user’s map-content interpretation.
Thanks to easier (but not easy) access to high-performance eye-trackers, we can expect, in a short time period, more numerous and deeper researches on different aspects of map reading. In the field of map creation, there exist certain short and long-term rules. Many of them are respected without any international convention, for example a blue colour used for waters [52].
High initial investments on high quality equipment and a non-existence of a single methodology for preparing and evaluation of tests limit the implementation of the described technology in cartography research. It is also necessary to cooperate with a professional psychologist.
Cartographic research with eye-tracking methods will considerably contribute to argumentation of a high number of empirically based rules and instructions for map creation and the map language will be internationalized. By implication, it will enable geographers to present better results of their researches and studies.
AcknowledgementThe chapter has been completed within the project CZ.1.07/2.4.00/31.0010 Supporting the creation of a national network of new generation of Cartography – NeoCartoLink which is co-financed from European Social Fund and State financial resources of the Czech Republic and the project The small format photography in the study of the effect of heterogeneity on the surface of habitats of the Palacky University (Integral Grant Agency, project no. PrF_2012_007).”
Osteoporosis is a systemic skeletal disease that deteriorates bone mass and strength and affects the microarchitecture of bone, thus increasing bone turnover and bone fragility [1]. Osteoporosis is categorized into primary and secondary types. Primary osteoporosis is considered decreased bone density attributed to aging, postmenopausal conditions and idiopathic osteoporosis. Secondary osteoporosis occurs in patients with predisposing factors, such as other endocrinopathies and a history of using some drugs. Osteoporotic bone is characterized by a decreased thickness, deranged trabecular structure, reduced mineral content, as well as an increased carbonate-to-phosphate ratio [2]. The reduction in osteoid formation is attributed to the absence of or a deficit in pre-osteoblast differentiation into osteoblasts or a reduction in the number of osteoprogenitor cells and defects in their proliferation and differentiation [3].
Dental implant placement has become a common and frequent option for tooth replacement. The success of dental implants largely depends on their osseointegration. Factors that interfere with osseointegration act as potential threats to implant survival. Osteoporosis is considered a questionable condition in dental implant placement since it affects the jaw bones, and bisphosphonates (BPs) are the first line of therapy [4, 5, 6]. Local and systemic factors can influence the osseointegration. The implant surface and the bone are the main interacting entities, and changes to these affect the healing and osseointegration of the implant. It is recognized that any compromise in the bone quality and quantity adversely affects the osseointegration. A microrough implant surface results in better osseointegration than a smooth implant surface. The relationship between osteoporosis and bone formation around implants is still unclear [7, 8]. Osteoporosis in the elderly, especially in postmenopausal women, is significantly correlated with tooth loss [9]. In fractures, delayed bone healing occurs due to low bone density, poor bone quality and osseous microstructural changes [10]. The endosseous implant healing mechanism is similar to that of bone fracture healing; hence, it is reasonable to assume that dental implant survival may be negatively affected by osteoporosis [11]. Animal studies have shown a relatively low rate of osseointegration in an osteoporotic environment [12, 13]. While most of these experimental studies were carried out on long bones rather than jaw bones, [14] studies of experimentally induced osteoporosis in the mandible failed to show a significant difference in peri-implant bone formation [15, 16, 17, 18].
Osteoporosis is a condition characterized by decreased bone mineral density and deteriorated bone microarchitecture and hence compromised bone quality. Osteoporosis can be classified into primary and secondary types. Primary osteoporosis can also be subclassified as type I and type II osteoporosis [17]. Type I osteoporosis occurs primarily due to the loss of trabecular bone, leading to distal forearm and vertebral body fractures. Type II osteoporosis is also known as senile osteoporosis and mainly occurs in men and women over the age of 70 years due to the loss of cortical and trabecular bone. Osteoporosis may also result from genetic and endocrine disorders, hypogonadal states, deficiencies, drug-induced and inflammatory states, and hematologic and neoplastic disorders as secondary causes. Estrogen deficiency is thought to be critical in the pathogenesis of postmenopausal osteoporosis. In the postmenopausal period, the bone structure changes due to estrogen deficiency, and osteoporosis can occur as a result of an imbalance in bone remodeling leading to enhanced bone resorption [3].
Osteoporosis leads to bone demineralization, which begins to manifest clinically in the fourth and fifth decades of life. Modifiable and nonmodifiable risk factors are responsible for osteoporosis [19]. Nonmodifiable risk factors include age, sex, genetic factors and early menopause, while modifiable risk factors include inadequate calcium consumption, lack of exercise, and behavioral factors, such as smoking and alcoholism. Other factors that can contribute to the development of osteoporosis include certain endocrine diseases, such as hyperparathyroidism, chronic renal and hepatic disease, malabsorption, and the use of certain drugs, such as oral glucocorticoids [18, 19].
The role of estrogen in the development of osteoporosis is well documented. Studies have shown that sex steroids, particularly estrogen, are important in developing peak bone mass and that estrogen deficiency is an important determinant of bone loss in both sexes [20, 21]. Estrogen can directly and/or indirectly affect osteoclasts, osteoblasts and osteocytes. It has been firmly established that these cells express functional estrogen receptors, [22] and studies have clearly demonstrated that estrogen can induce osteoclast apoptosis through the osteoclast-specific deletion of estrogen receptors. This can reduce osteoclast apoptosis and increase the osteoclast lifespan, which results in decreased trabecular bone mass (Figure 1) [23, 24]. Aging and estrogen deficiency may lead to an impairment in bone formation involving oxidative stress. Estrogen deficiency can also lead to a marked increase in NF-kB activity in osteoblasts. In osteoporotic patients, estrogen treatment induces the expression of sclerostin, a potent inhibitor of bone formation [25]. As sclerostin is expressed by osteocytes, estrogen also affects osteocytes. Estrogen deficiency may enhance the rate of bone loss by stimulating the synthesis of several inflammatory cytokines that regulate osteoclast generation, such as IL-1, IL-2, IL-6, and prostaglandin E [26].
Orthopantomogram of a 65-year-old patient with osteoporosis. Note the area of low bone density, alveolar bone loss and tooth loss.
A recent study among Swedish women showed a previous history of fracture and low bone mineral density as important factors that can lead to an increased rate of hip and fragility fractures among them [27]. Another study conducted in the United States revealed that several factors, such as age, self-reported health, weight, height, self-reported physical activity, history of fracture after the age of 50, parental hip fracture, smoking, use of corticosteroids, and treated diabetes, may be early indicators of hip fractures [28]. Factors associated with an increased risk for osteoporosis in men include glucocorticoid treatment, hypogonadism, excessive alcohol consumption, anticonvulsant use, osteomalacia, severe hyperthyroidism, and bone marrow neoplasia [29].
Osteoporosis causes a range of skeletal changes that may impact the feasibility of dental implant placement. Greater alveolar ridge resorption, altered trabecular patterns in the anterior maxilla and posterior mandible, erosion of the inferior border of the mandible and increased resorption and thinning of the inferior mandibular cortical margin have been reported among osteoporotic individuals [30, 31]. Subjects with osteoporosis show a decreased number and thickness of trabecular plates as a characteristic feature of the disease. There have also been anecdotal reports that the incidence of maxillofacial fractures during the placement of endosseous implants is increased in patients with osteoporosis [32]. Additionally, bone changes evident on panoramic radiographs can be correlated with general osteoporosis, and dental radiography can serve as both a reliable indicator of bone loss in osteoporosis and a useful tool for diagnosing skeletal osteoporosis [33].
The osseointegration of an implant is a wound healing process that depends upon the quality, quantity, and healing capacity of the host bone and various other systemic conditions. Osseointegration is based on intimate bone-implant contact achieved during healing. Thus, any condition affecting bone quality or quantity or microarchitectural changes in bone structure, including a reduction in the cancellous bone volume and bone-implant contact, could theoretically have a negative impact on the survival and function of an endosseous implant [34]. There are relatively few absolute contraindications to rehabilitation with dental implants, including a recent myocardial infarction or cerebrovascular accident, history of valvular prosthesis placement, immune suppression, bleeding issues, active treatment of malignancy, drug abuse, psychiatric illness, and intravenous BP treatment [35]. Some relative contraindications and conditions that may unfavorably impact the outcomes of dental implant placement discussed in the literature include adolescence, aging, osteoporosis, smoking, diabetes, positive IL-1 genotype, human immunodeficiency virus infection, cardiovascular disease and hypothyroidism [36, 37, 38]. Controversy about the importance and effects of osteoporosis in dental therapy has continued [39].
In a study of implant placement in patients diagnosed with osteoporosis, Friberg et al. [40] found a success rate of 97% for the maxilla and 97.3% for the mandible on follow-up. Most studies have shown that it is feasible to place implants in subjects with osteoporosis, with success rates similar to those in healthy subjects, even in cases of poor bone quality during or after placement [4, 41, 42, 43, 44].
The osseointegration of an implant can be affected by the characteristics of the implant, the surgical procedure, and patient-dependent variables that can affect the quantity and quality of bone (Table 1). Osteoporosis, characterized by bone loss, microstructural alterations and a reduced bone regeneration capacity, has been considered a potential contraindication to or risk factor for dental implant placement. It has been established that osteoporosis affects the jaw in the same manner as other bones of the skeleton and thus may also alter the metabolic microenvironment of bone around the implant [56]. Bone is constantly metabolized throughout life by bone-resorbing osteoclasts and bone-forming osteoblasts. Osteocytes play an active role in modulating the process of bone metabolism through the lacunocanalicular system [57, 58]. Studies in osteoporotic animal models have shown altered osseointegration, especially in trabecular bone, which resulted in a significant reduction in bone-implant contact [59, 60, 61].
Author (year) | Study type/sample size | Follow-up period | Result/outcome |
---|---|---|---|
Becker et al. (2000) [45] | Retrospective case–control 49 cases, 49 controls, 5 osteoporosis, 7 osteoporosis | 3.9 years | No association between dual-energy X-ray absorptiometry values or diagnosis of osteoporosis and implant loss |
Friberg et al. (2001) [40] | Retrospective cohort 13 cases of osteoporosis | 3.4 years | Successful implantation in osteoporosis provided adapted bone technique used and increased healing time allowed |
von Wowern and Gotfredsen (2001) [46] | Retrospective cohort, 7 cases of osteoporosis, 11 controls | 5 years | Mandibular osteoporosis a risk factor for peri-implant bone loss |
Amorim et al. (2007) [47] | Retrospective case–control 19 cases of osteoporosis, 20 controls | 9 months | No difference in implant survival between the two groups |
Amorim et al. (2007) [47] | Prospective, 19 cases of osteoporosis, 20 controls | 9 months | Failure in 1 (2.56%) case of osteoporosis, 0 controls |
Alsaadi et al. (2008) [48] | Retrospective study,187 total, 29 cases of osteoporosis | 2 years | Failure in 0 cases of osteoporosis and 14 controls |
Alsaadi et al. (2008) [49] | Retrospective, 19 cases of osteoporosis, 393 controls | 2 years | Failure in 9 (13.24%) cases of osteoporosis and 92 (6.3%) controls |
Holahan et al. (2008) [50] | Retrospective,94 controls, 57 cases of osteopenia, 41 cases of osteoporosis | 10 years | No difference between controls and cases; equal implant survival in all groups. |
Dvorak et al. (2011) [51] | Cross-sectional,46 cases of osteoporosis, 16 cases of osteopenia, 115 controls | 6 ± 4 years | Failure in 6 (13%) cases of osteoporosis, 3 (18.75%) cases of osteopenia, and 15 (13%) controls |
de Souza et al. (2013) [52] | Retrospective, 6 cases of osteoporosis, 186 controls | 1 year | Failure in 12 (50%) cases of osteoporosis and 203 (29%) controls |
Famili and Zavoral (2015) [53] | Case–control study, 30 patients | 2 years | No difference: 100% survival |
Siebert et al. (2015) [54] | Prospective study, 24 patients | 1 year | 100% implant survival |
Temmerman et al. (2017) [55] | Prospective study, 48 patients | 1 year | 100% implant survival |
Studies evaluating the outcome of dental implants among subjects with osteoporosis.
Elucidation of the role of osteocytes in peri-implant bone remodeling will help clarify the dynamics of bone metabolism following osseointegration. Since osteocytes are the terminal cells of osteoblasts, understanding the relationship between osteocytes and implants will also shed light on the relationship between osteoblasts and implants in early bone formation. Research on the influence of estrogen deficiency and its treatment with alendronate and estrogen on bone density around osseointegrated implants in rats has shown that estrogen deprivation has a negative effect only on trabecular bone and that treatment with estrogen and alendronate can effectively prevent bone loss around osseointegrated implants [62]. Histological studies in humans have also shown the osseointegration of implants retrieved from osteoporotic individuals [63, 64]. A histological study that evaluated the bone-implant contact of failed implants after retrieval showed no differences between implants originating from patients with and without osteoporosis [41]. The most important complication of implant placement in osteoporotic patients is bisphosphonate-related osteonecrosis of the jaw (BRONJ), that interferes with osseointegration. BPs act by inhibiting and inducing the apoptosis of osteoclasts, increasing collagen synthesis and inhibiting osteoblast proliferation. A systematic review showed that the placement of dental implants in osteoporotic patients who used oral BPs for less than five years did not develop BRONJ and that most adverse effects were related to the intravenous administration of BPs [65].
Bisphosphonates are widely prescribed for the management of osteoporosis. They are pyrophosphate analogs containing a phosphate-carbon-phosphate bond, which is stable against chemical and enzymatic hydrolysis. BPs strongly bind to hydroxyapatite (HA) crystals and potently inhibit osteoclast-mediated bone resorption while minimally inhibiting osteoblast activity [66]. BPs are used for increasing or maintaining bone mass and reducing excessive bone turnover [67]. By inhibiting osteoclast-mediated bone resorption, BPs contribute to an increase in bone mineral density as well as a decrease in the risk of fracture [68, 69]. Two routes of administration are commonly used: oral and intravenous. BPs act almost exclusively on bone when administered at physiological doses because of their specific affinity to bone; they are deposited both in newly formed bone and in proximity to osteoclasts. The half-life of BPs in the circulation is quite short, ranging from thirty minutes to two hours [70]. However, once incorporated into bone tissue, they can persist for up to 10 years, depending on the skeletal turnover time [71]. Oral BPs are commonly used in the treatment of osteoporosis, Paget’s disease, and osteogenesis imperfecta, whereas intravenous BPs are used in the treatment of osteolytic tumors, hypercalcemia of malignancy, multiple myeloma, bone metastases from solid tumors, and other tumors [72, 73]. The most common oral BPs are alendronate (Fosamax), risedronate (Actonel), and ibandronate (Boniva).
There have been conflicting reports regarding installation of dental implants in patients undergoing bisphosphonate therapy [74, 75]. Experimental studies have shown a positive effect of BPs on peri-implant bone in experimental animals [76, 77]. Although some studies have reported that BPs have no effect on implant stability, [78] a few other reports have suggested that BPs may have a negative impact on osseointegration. Additionally, osteointegration failure has been reported in patients on BP therapy [79, 80, 81]. Current guidelines indicate that implant placement may be avoided if the patient has a serious bone disease or is on high doses of BPs. Osteoporotic patients on lower doses need to provide fully informed consent before proceeding with treatment, and patients with existing implants on BP therapy should be regularly monitored. Increased bone density around the implant may also occur. If bone pain or loss of integrity occurs, the superstructure should be removed, and the implant should be left submerged [82]. In such cases, bone surgery must be avoided because the bone is exceedingly dense, and avascular necrosis may occur (Figure 2).
Schematic diagram showing the possible mechanism of development of BP-associated osteonecrosis. BP,
The chances of developing osteonecrosis depend on the potency and duration of BP exposure [84, 85, 86]. BRONJ is a condition characterized by nonhealing exposed necrotic bone in the mandible or maxilla persisting for more than 8 weeks in a patient who has taken or is currently taking a BP and who has no history of radiation therapy of the jaw [84, 87]. Incidents of osteonecrosis of the jaw have been reported in persons using BPs and undergoing invasive dental treatment procedures, including tooth extraction, dental implant placement, and surgical and nonsurgical periodontal treatment [88, 89]. Although BPs have been reported to cause oral mucosal alterations, the changes occurring in the jaw bone are of greater significance to the dentist [90, 91]. Osteonecrosis of the jaw is less often reported among patients who have received treatment with oral BPs at lower doses, used for osteoporosis, than among patients who have received treatment with higher doses, used for metastatic cancer. Even though the exact incidence of BRONJ is unknown, reports have estimated it to be approximately 1 in 10,000 for intravenous BPs. There is also an incomplete understanding of how BP therapy may affect tissue healing and the success rate of dental implantation [75, 80]. Advanced cases of BRONJ can lead to pathological fractures, especially in edentulous patients with long-standing oral implants [92].
BPs alter the bone tissue metabolism by inhibiting bone resorption and reducing bone turnover. At the cellular level, BPs affect the recruitment of osteoclasts, their viability, the bioavailability of their progenitors, and their effect on bone. From a molecular point BPs have been proposed to modulate the function of osteoclasts by reacting with a surface receptor or with an intracellular enzyme [93]. BRONJ is defined as an area of exposed bone in the maxillofacial region that does not heal within 8 weeks in a patient who is receiving treatment with a BP. BRONJ develops secondary to the mechanisms of action of BPs in anti-osteoclastic and antiangiogenic activities, which alter bone metabolism, inhibit bone resorption and reduce bone turnover. Additional signs and symptoms may include pain, swelling, paresthesia, suppuration, soft tissue ulceration, intra- or extraoral sinus tract formation, tooth loosening, and radiographic variability. These symptoms most commonly occur at sites of previous tooth extractions or other dental surgical interventions but may occur spontaneously. The exact role of BPs remains to be determined, and alterations in bone homeostasis coupled with odontogenic or surgical insult, or both, may be key to the development of osteonecrosis of the jaw [88, 93]. Cases of BRONJ are more common when frequent doses of intravenous BPs are used in treating malignancy than when oral BP regimens are used in treating osteoporosis [94].
The diagnosis of BRONJ is primarily based on the patient’s history and the findings of a clinical examination. Most of the time, these patients have necrotic bone exposure ranging from a few millimeters to larger areas and can be asymptomatic for weeks, months, or years (Figure 3). The incidence of BRONJ is higher in the mandible than in the maxilla and in areas of thin mucosa overlying bony prominences, such as tori and the mylohyoid ridge. The management of BRONJ mainly comprises pain control measures, antibiotic therapy, mouth rinsing, BP discontinuation, hyperbaric chamber therapy, laser therapy, and surgical debridement [95, 96]. Assessments of markers of bone resorption, such as the serum C-terminal telopeptide of type I collagen; CTx or ITCP) test, can be used to assess the risk of developing BRONJ. Patients with a CTx level lower than 150 pg./mL should consider discontinuation of BP therapy for a period of 4–6 months.
BRONJ in a 63-year-old woman subsequent to extraction of mandibular molar. The patient was on intravenous zoledronate for 1 year
Osteoporosis is a common skeletal disorder characterized by reduced bone mass and altered bone architecture, leading to an increase in bone fragility and the risk of fracture. This condition is associated with a decrease in bone quality and quantity, which might affect dental implant osseointegration. The placement of dental implants in patients with osteoporosis is still debated because of the quality of the bone, which is a key factor that determines the success of dental implantation. Although osteoporosis is not considered a risk factor for dental implant failure, the initial implant stability can be influenced by both the local and skeletal bone density, and the healing time is prolonged in osteoporotic patients. While the risk of osteonecrosis of the jaw in patients on BPs is low, patients should be informed of this risk and sign a consent form including this specific point. Based on the available literature, it can be concluded that implants placed in patients with systemic osteoporosis did not present higher failure rates than those placed in patients without osteoporosis.
The authors declare no conflict of interest.
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He has been listed among the top 2% of scientists in the world for the last three consecutive years, 2019 to 2021 as per studies conducted by the Stanford University, USA.",institutionString:"Praxis Business School",institution:null},{id:"320071",title:"Dr.",name:"Sidra",middleName:null,surname:"Mehtab",slug:"sidra-mehtab",fullName:"Sidra Mehtab",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00002v6KHoQAM/Profile_Picture_1584512086360",biography:"Sidra Mehtab has completed her BS with honors in Physics from Calcutta University, India in 2018. She has done MS in Data Science and Analytics from Maulana Abul Kalam Azad University of Technology (MAKAUT), Kolkata, India in 2020. Her research areas include Econometrics, Time Series Analysis, Machine Learning, Deep Learning, Artificial Intelligence, and Computer and Network Security with a particular focus on Cyber Security Analytics. Ms. Mehtab has published seven papers in international conferences and one of her papers has been accepted for publication in a reputable international journal. She has won the best paper awards in two prestigious international conferences – BAICONF 2019, and ICADCML 2021, organized in the Indian Institute of Management, Bangalore, India in December 2019, and SOA University, Bhubaneswar, India in January 2021. Besides, Ms. Mehtab has also published two book chapters in two books. Seven of her book chapters will be published in a volume shortly in 2021 by Cambridge Scholars’ Press, UK. Currently, she is working as the joint editor of two edited volumes on Time Series Analysis and Forecasting to be published in the first half of 2021 by an international house. Currently, she is working as a Data Scientist with an MNC in Delhi, India.",institutionString:"NSHM College of Management and Technology",institution:null},{id:"226240",title:"Dr.",name:"Andri Irfan",middleName:null,surname:"Rifai",slug:"andri-irfan-rifai",fullName:"Andri Irfan Rifai",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/226240/images/7412_n.jpg",biography:"Andri IRFAN is a Senior Lecturer of Civil Engineering and Planning. He completed the PhD at the Universitas Indonesia & Universidade do Minho with Sandwich Program Scholarship from the Directorate General of Higher Education and LPDP scholarship. He has been teaching for more than 19 years and much active to applied his knowledge in the project construction in Indonesia. His research interest ranges from pavement management system to advanced data mining techniques for transportation engineering. He has published more than 50 papers in journals and 2 books.",institutionString:null,institution:{name:"Universitas Internasional Batam",country:{name:"Indonesia"}}},{id:"314576",title:"Dr.",name:"Ibai",middleName:null,surname:"Laña",slug:"ibai-lana",fullName:"Ibai Laña",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314576/images/system/314576.jpg",biography:"Dr. Ibai Laña works at TECNALIA as a data analyst. He received his Ph.D. in Artificial Intelligence from the University of the Basque Country (UPV/EHU), Spain, in 2018. He is currently a senior researcher at TECNALIA. His research interests fall within the intersection of intelligent transportation systems, machine learning, traffic data analysis, and data science. He has dealt with urban traffic forecasting problems, applying machine learning models and evolutionary algorithms. He has experience in origin-destination matrix estimation or point of interest and trajectory detection. Working with large volumes of data has given him a good command of big data processing tools and NoSQL databases. He has also been a visiting scholar at the Knowledge Engineering and Discovery Research Institute, Auckland University of Technology.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"314575",title:"Dr.",name:"Jesus",middleName:null,surname:"L. Lobo",slug:"jesus-l.-lobo",fullName:"Jesus L. Lobo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314575/images/system/314575.png",biography:"Dr. Jesús López is currently based in Bilbao (Spain) working at TECNALIA as Artificial Intelligence Research Scientist. In most cases, a project idea or a new research line needs to be investigated to see if it is good enough to take into production or to focus on it. That is exactly what he does, diving into Machine Learning algorithms and technologies to help TECNALIA to decide whether something is great in theory or will actually impact on the product or processes of its projects. So, he is expert at framing experiments, developing hypotheses, and proving whether they’re true or not, in order to investigate fundamental problems with a longer time horizon. He is also able to design and develop PoCs and system prototypes in simulation. He has participated in several national and internacional R&D projects.\n\nAs another relevant part of his everyday research work, he usually publishes his findings in reputed scientific refereed journals and international conferences, occasionally acting as reviewer and Programme Commitee member. Concretely, since 2018 he has published 9 JCR (8 Q1) journal papers, 9 conference papers (e.g. ECML PKDD 2021), and he has co-edited a book. He is also active in popular science writing data science stories for reputed blogs (KDNuggets, TowardsDataScience, Naukas). Besides, he has recently embarked on mentoring programmes as mentor, and has also worked as data science trainer.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"103779",title:"Prof.",name:"Yalcin",middleName:null,surname:"Isler",slug:"yalcin-isler",fullName:"Yalcin Isler",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRyQ8QAK/Profile_Picture_1628834958734",biography:"Yalcin Isler (1971 - Burdur / Turkey) received the B.Sc. degree in the Department of Electrical and Electronics Engineering from Anadolu University, Eskisehir, Turkey, in 1993, the M.Sc. degree from the Department of Electronics and Communication Engineering, Suleyman Demirel University, Isparta, Turkey, in 1996, the Ph.D. degree from the Department of Electrical and Electronics Engineering, Dokuz Eylul University, Izmir, Turkey, in 2009, and the Competence of Associate Professorship from the Turkish Interuniversity Council in 2019.\n\nHe was Lecturer at Burdur Vocational School in Suleyman Demirel University (1993-2000, Burdur / Turkey), Software Engineer (2000-2002, Izmir / Turkey), Research Assistant in Bulent Ecevit University (2002-2003, Zonguldak / Turkey), Research Assistant in Dokuz Eylul University (2003-2010, Izmir / Turkey), Assistant Professor at the Department of Electrical and Electronics Engineering in Bulent Ecevit University (2010-2012, Zonguldak / Turkey), Assistant Professor at the Department of Biomedical Engineering in Izmir Katip Celebi University (2012-2019, Izmir / Turkey). He is an Associate Professor at the Department of Biomedical Engineering at Izmir Katip Celebi University, Izmir / Turkey, since 2019. In addition to academics, he has also founded Islerya Medical and Information Technologies Company, Izmir / Turkey, since 2017.\n\nHis main research interests cover biomedical signal processing, pattern recognition, medical device design, programming, and embedded systems. He has many scientific papers and participated in several projects in these study fields. He was an IEEE Student Member (2009-2011) and IEEE Member (2011-2014) and has been IEEE Senior Member since 2014.",institutionString:null,institution:{name:"Izmir Kâtip Çelebi University",country:{name:"Turkey"}}},{id:"339677",title:"Dr.",name:"Mrinmoy",middleName:null,surname:"Roy",slug:"mrinmoy-roy",fullName:"Mrinmoy Roy",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/339677/images/16768_n.jpg",biography:"An accomplished Sales & Marketing professional with 12 years of cross-functional experience in well-known organisations such as CIPLA, LUPIN, GLENMARK, ASTRAZENECA across different segment of Sales & Marketing, International Business, Institutional Business, Product Management, Strategic Marketing of HIV, Oncology, Derma, Respiratory, Anti-Diabetic, Nutraceutical & Stomatological Product Portfolio and Generic as well as Chronic Critical Care Portfolio. A First Class MBA in International Business & Strategic Marketing, B.Pharm, D.Pharm, Google Certified Digital Marketing Professional. Qualified PhD Candidate in Operations and Management with special focus on Artificial Intelligence and Machine Learning adoption, analysis and use in Healthcare, Hospital & Pharma Domain. Seasoned with diverse therapy area of Pharmaceutical Sales & Marketing ranging from generating revenue through generating prescriptions, launching new products, and making them big brands with continuous strategy execution at the Physician and Patients level. Moved from Sales to Marketing and Business Development for 3.5 years in South East Asian Market operating from Manila, Philippines. Came back to India and handled and developed Brands such as Gluconorm, Lupisulin, Supracal, Absolut Woman, Hemozink, Fabiflu (For COVID 19), and many more. In my previous assignment I used to develop and execute strategies on Sales & Marketing, Commercialization & Business Development for Institution and Corporate Hospital Business portfolio of Oncology Therapy Area for AstraZeneca Pharma India Ltd. Being a Research Scholar and Student of ‘Operations Research & Management: Artificial Intelligence’ I published several pioneer research papers and book chapters on the same in Internationally reputed journals and Books indexed in Scopus, Springer and Ei Compendex, Google Scholar etc. Currently, I am launching PGDM Pharmaceutical Management Program in IIHMR Bangalore and spearheading the course curriculum and structure of the same. I am interested in Collaboration for Healthcare Innovation, Pharma AI Innovation, Future trend in Marketing and Management with incubation on Healthcare, Healthcare IT startups, AI-ML Modelling and Healthcare Algorithm based training module development. I am also an affiliated member of the Institute of Management Consultant of India, looking forward to Healthcare, Healthcare IT and Innovation, Pharma and Hospital Management Consulting works.",institutionString:null,institution:{name:"Lovely Professional University",country:{name:"India"}}},{id:"310576",title:"Prof.",name:"Erick Giovani",middleName:null,surname:"Sperandio Nascimento",slug:"erick-giovani-sperandio-nascimento",fullName:"Erick Giovani Sperandio Nascimento",position:null,profilePictureURL:"https://intech-files.s3.amazonaws.com/0033Y00002pDKxDQAW/ProfilePicture%202022-06-20%2019%3A57%3A24.788",biography:"Prof. Erick Sperandio is the Lead Researcher and professor of Artificial Intelligence (AI) at SENAI CIMATEC, Bahia, Brazil, also working with Computational Modeling (CM) and HPC. He holds a PhD in Environmental Engineering in the area of Atmospheric Computational Modeling, a Master in Informatics in the field of Computational Intelligence and Graduated in Computer Science from UFES. He currently coordinates, leads and participates in R&D projects in the areas of AI, computational modeling and supercomputing applied to different areas such as Oil and Gas, Health, Advanced Manufacturing, Renewable Energies and Atmospheric Sciences, advising undergraduate, master's and doctoral students. He is the Lead Researcher at SENAI CIMATEC's Reference Center on Artificial Intelligence. In addition, he is a Certified Instructor and University Ambassador of the NVIDIA Deep Learning Institute (DLI) in the areas of Deep Learning, Computer Vision, Natural Language Processing and Recommender Systems, and Principal Investigator of the NVIDIA/CIMATEC AI Joint Lab, the first in Latin America within the NVIDIA AI Technology Center (NVAITC) worldwide program. He also works as a researcher at the Supercomputing Center for Industrial Innovation (CS2i) and at the SENAI Institute of Innovation for Automation (ISI Automação), both from SENAI CIMATEC. He is a member and vice-coordinator of the Basic Board of Scientific-Technological Advice and Evaluation, in the area of Innovation, of the Foundation for Research Support of the State of Bahia (FAPESB). He serves as Technology Transfer Coordinator and one of the Principal Investigators at the National Applied Research Center in Artificial Intelligence (CPA-IA) of SENAI CIMATEC, focusing on Industry, being one of the six CPA-IA in Brazil approved by MCTI / FAPESP / CGI.br. He also participates as one of the representatives of Brazil in the BRICS Innovation Collaboration Working Group on HPC, ICT and AI. He is the coordinator of the Work Group of the Axis 5 - Workforce and Training - of the Brazilian Strategy for Artificial Intelligence (EBIA), and member of the MCTI/EMBRAPII AI Innovation Network Training Committee. He is the coordinator, by SENAI CIMATEC, of the Artificial Intelligence Reference Network of the State of Bahia (REDE BAH.IA). He leads the working group of experts representing Brazil in the Global Partnership on Artificial Intelligence (GPAI), on the theme \"AI and the Pandemic Response\".",institutionString:"Manufacturing and Technology Integrated Campus – SENAI CIMATEC",institution:null},{id:"1063",title:"Prof.",name:"Constantin",middleName:null,surname:"Volosencu",slug:"constantin-volosencu",fullName:"Constantin Volosencu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/1063/images/system/1063.png",biography:"Prof. Dr. Constantin Voloşencu graduated as an engineer from\nPolitehnica University of Timișoara, Romania, where he also\nobtained a doctorate degree. He is currently a full professor in\nthe Department of Automation and Applied Informatics at the\nsame university. Dr. Voloşencu is the author of ten books, seven\nbook chapters, and more than 160 papers published in journals\nand conference proceedings. He has also edited twelve books and\nhas twenty-seven patents to his name. He is a manager of research grants, editor in\nchief and member of international journal editorial boards, a former plenary speaker, a member of scientific committees, and chair at international conferences. His\nresearch is in the fields of control systems, control of electric drives, fuzzy control\nsystems, neural network applications, fault detection and diagnosis, sensor network\napplications, monitoring of distributed parameter systems, and power ultrasound\napplications. He has developed automation equipment for machine tools, spooling\nmachines, high-power ultrasound processes, and more.",institutionString:"Polytechnic University of Timişoara",institution:{name:"Polytechnic University of Timişoara",country:{name:"Romania"}}},{id:"221364",title:"Dr.",name:"Eneko",middleName:null,surname:"Osaba",slug:"eneko-osaba",fullName:"Eneko Osaba",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/221364/images/system/221364.jpg",biography:"Dr. Eneko Osaba works at TECNALIA as a senior researcher. He obtained his Ph.D. in Artificial Intelligence in 2015. He has participated in more than twenty-five local and European research projects, and in the publication of more than 130 papers. He has performed several stays at universities in the United Kingdom, Italy, and Malta. Dr. Osaba has served as a program committee member in more than forty international conferences and participated in organizing activities in more than ten international conferences. He is a member of the editorial board of the International Journal of Artificial Intelligence, Data in Brief, and Journal of Advanced Transportation. He is also a guest editor for the Journal of Computational Science, Neurocomputing, Swarm, and Evolutionary Computation and IEEE ITS Magazine.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"275829",title:"Dr.",name:"Esther",middleName:null,surname:"Villar-Rodriguez",slug:"esther-villar-rodriguez",fullName:"Esther Villar-Rodriguez",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/275829/images/system/275829.jpg",biography:"Dr. Esther Villar obtained a Ph.D. in Information and Communication Technologies from the University of Alcalá, Spain, in 2015. She obtained a degree in Computer Science from the University of Deusto, Spain, in 2010, and an MSc in Computer Languages and Systems from the National University of Distance Education, Spain, in 2012. Her areas of interest and knowledge include natural language processing (NLP), detection of impersonation in social networks, semantic web, and machine learning. Dr. Esther Villar made several contributions at conferences and publishing in various journals in those fields. Currently, she is working within the OPTIMA (Optimization Modeling & Analytics) business of TECNALIA’s ICT Division as a data scientist in projects related to the prediction and optimization of management and industrial processes (resource planning, energy efficiency, etc).",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"49813",title:"Dr.",name:"Javier",middleName:null,surname:"Del Ser",slug:"javier-del-ser",fullName:"Javier Del Ser",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/49813/images/system/49813.png",biography:"Prof. Dr. Javier Del Ser received his first PhD in Telecommunication Engineering (Cum Laude) from the University of Navarra, Spain, in 2006, and a second PhD in Computational Intelligence (Summa Cum Laude) from the University of Alcala, Spain, in 2013. He is currently a principal researcher in data analytics and optimisation at TECNALIA (Spain), a visiting fellow at the Basque Center for Applied Mathematics (BCAM) and a part-time lecturer at the University of the Basque Country (UPV/EHU). His research interests gravitate on the use of descriptive, prescriptive and predictive algorithms for data mining and optimization in a diverse range of application fields such as Energy, Transport, Telecommunications, Health and Industry, among others. In these fields he has published more than 240 articles, co-supervised 8 Ph.D. theses, edited 6 books, coauthored 7 patents and participated/led more than 40 research projects. He is a Senior Member of the IEEE, and a recipient of the Biscay Talent prize for his academic career.",institutionString:"Tecnalia Research & Innovation",institution:null},{id:"278948",title:"Dr.",name:"Carlos Pedro",middleName:null,surname:"Gonçalves",slug:"carlos-pedro-goncalves",fullName:"Carlos Pedro Gonçalves",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRcmyQAC/Profile_Picture_1564224512145",biography:'Carlos Pedro Gonçalves (PhD) is an Associate Professor at Lusophone University of Humanities and Technologies and a researcher on Complexity Sciences, Quantum Technologies, Artificial Intelligence, Strategic Studies, Studies in Intelligence and Security, FinTech and Financial Risk Modeling. He is also a progammer with programming experience in:\n\nA) Quantum Computing using Qiskit Python module and IBM Quantum Experience Platform, with software developed on the simulation of Quantum Artificial Neural Networks and Quantum Cybersecurity;\n\nB) Artificial Intelligence and Machine learning programming in Python;\n\nC) Artificial Intelligence, Multiagent Systems Modeling and System Dynamics Modeling in Netlogo, with models developed in the areas of Chaos Theory, Econophysics, Artificial Intelligence, Classical and Quantum Complex Systems Science, with the Econophysics models having been cited worldwide and incorporated in PhD programs by different Universities.\n\nReceived an Arctic Code Vault Contributor status by GitHub, due to having developed open source software preserved in the \\"Arctic Code Vault\\" for future generations (https://archiveprogram.github.com/arctic-vault/), with the Strategy Analyzer A.I. module for decision making support (based on his PhD thesis, used in his Classes on Decision Making and in Strategic Intelligence Consulting Activities) and QNeural Python Quantum Neural Network simulator also preserved in the \\"Arctic Code Vault\\", for access to these software modules see: https://github.com/cpgoncalves. He is also a peer reviewer with outsanding review status from Elsevier journals, including Physica A, Neurocomputing and Engineering Applications of Artificial Intelligence. Science CV available at: https://www.cienciavitae.pt//pt/8E1C-A8B3-78C5 and ORCID: https://orcid.org/0000-0002-0298-3974',institutionString:"University of Lisbon",institution:{name:"Universidade Lusófona",country:{name:"Portugal"}}},{id:"241400",title:"Prof.",name:"Mohammed",middleName:null,surname:"Bsiss",slug:"mohammed-bsiss",fullName:"Mohammed Bsiss",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/241400/images/8062_n.jpg",biography:null,institutionString:null,institution:null},{id:"276128",title:"Dr.",name:"Hira",middleName:null,surname:"Fatima",slug:"hira-fatima",fullName:"Hira Fatima",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/276128/images/14420_n.jpg",biography:"Dr. Hira Fatima\nAssistant Professor\nDepartment of Mathematics\nInstitute of Applied Science\nMangalayatan University, Aligarh\nMobile: no : 8532041179\nhirafatima2014@gmal.com\n\nDr. Hira Fatima has received his Ph.D. degree in pure Mathematics from Aligarh Muslim University, Aligarh India. Currently working as an Assistant Professor in the Department of Mathematics, Institute of Applied Science, Mangalayatan University, Aligarh. She taught so many courses of Mathematics of UG and PG level. Her research Area of Expertise is Functional Analysis & Sequence Spaces. She has been working on Ideal Convergence of double sequence. She has published 17 research papers in National and International Journals including Cogent Mathematics, Filomat, Journal of Intelligent and Fuzzy Systems, Advances in Difference Equations, Journal of Mathematical Analysis, Journal of Mathematical & Computer Science etc. She has also reviewed few research papers for the and international journals. She is a member of Indian Mathematical Society.",institutionString:null,institution:null},{id:"414880",title:"Dr.",name:"Maryam",middleName:null,surname:"Vatankhah",slug:"maryam-vatankhah",fullName:"Maryam Vatankhah",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Borough of Manhattan Community College",country:{name:"United States of America"}}},{id:"414879",title:"Prof.",name:"Mohammad-Reza",middleName:null,surname:"Akbarzadeh-Totonchi",slug:"mohammad-reza-akbarzadeh-totonchi",fullName:"Mohammad-Reza Akbarzadeh-Totonchi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Ferdowsi University of Mashhad",country:{name:"Iran"}}},{id:"414878",title:"Prof.",name:"Reza",middleName:null,surname:"Fazel-Rezai",slug:"reza-fazel-rezai",fullName:"Reza Fazel-Rezai",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"American Public University System",country:{name:"United States of America"}}},{id:"302698",title:"Dr.",name:"Yao",middleName:null,surname:"Shan",slug:"yao-shan",fullName:"Yao Shan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Dalian University of Technology",country:{name:"China"}}},{id:"125911",title:"Prof.",name:"Jia-Ching",middleName:null,surname:"Wang",slug:"jia-ching-wang",fullName:"Jia-Ching Wang",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"National Central University",country:{name:"Taiwan"}}},{id:"357085",title:"Mr.",name:"P. Mohan",middleName:null,surname:"Anand",slug:"p.-mohan-anand",fullName:"P. Mohan Anand",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}},{id:"356696",title:"Ph.D. Student",name:"P.V.",middleName:null,surname:"Sai Charan",slug:"p.v.-sai-charan",fullName:"P.V. Sai Charan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}},{id:"357086",title:"Prof.",name:"Sandeep K.",middleName:null,surname:"Shukla",slug:"sandeep-k.-shukla",fullName:"Sandeep K. Shukla",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}},{id:"356823",title:"MSc.",name:"Seonghee",middleName:null,surname:"Min",slug:"seonghee-min",fullName:"Seonghee Min",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Daegu University",country:{name:"Korea, South"}}},{id:"353307",title:"Prof.",name:"Yoosoo",middleName:null,surname:"Oh",slug:"yoosoo-oh",fullName:"Yoosoo Oh",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:"Yoosoo Oh received his Bachelor's degree in the Department of Electronics and Engineering from Kyungpook National University in 2002. He obtained his Master’s degree in the Department of Information and Communications from Gwangju Institute of Science and Technology (GIST) in 2003. In 2010, he received his Ph.D. degree in the School of Information and Mechatronics from GIST. In the meantime, he was an executed team leader at Culture Technology Institute, GIST, 2010-2012. In 2011, he worked at Lancaster University, the UK as a visiting scholar. In September 2012, he joined Daegu University, where he is currently an associate professor in the School of ICT Conver, Daegu University. Also, he served as the Board of Directors of KSIIS since 2019, and HCI Korea since 2016. From 2017~2019, he worked as a center director of the Mixed Reality Convergence Research Center at Daegu University. From 2015-2017, He worked as a director in the Enterprise Supporting Office of LINC Project Group, Daegu University. His research interests include Activity Fusion & Reasoning, Machine Learning, Context-aware Middleware, Human-Computer Interaction, etc.",institutionString:null,institution:{name:"Daegu Gyeongbuk Institute of Science and Technology",country:{name:"Korea, South"}}},{id:"262719",title:"Dr.",name:"Esma",middleName:null,surname:"Ergüner Özkoç",slug:"esma-erguner-ozkoc",fullName:"Esma Ergüner Özkoç",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Başkent University",country:{name:"Turkey"}}},{id:"346530",title:"Dr.",name:"Ibrahim",middleName:null,surname:"Kaya",slug:"ibrahim-kaya",fullName:"Ibrahim Kaya",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Izmir Kâtip Çelebi University",country:{name:"Turkey"}}},{id:"419199",title:"Dr.",name:"Qun",middleName:null,surname:"Yang",slug:"qun-yang",fullName:"Qun Yang",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Auckland",country:{name:"New Zealand"}}}]}},subseries:{item:{id:"90",type:"subseries",title:"Human Development",keywords:"Neuroscientific research, Brain functions, Human development, UN’s human development index, Self-awareness, Self-development",scope:"