Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/1152
Full metadata record
DC FieldValueLanguage
dc.contributor.authorEllis, Geoffrey. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:25:52Z-
dc.date.available2020-05-17T08:25:52Z-
dc.date.issued2018en_US
dc.identifier.isbn9783319958316 ;en_US
dc.identifier.isbn9783319958309 (print) ;en_US
dc.identifier.isbn9783319958323 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/1152-
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9783319958309. ;en_US
dc.description005.437 ; 23 ;en_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionQA76.9.H85 ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9783319958323. ;en_US
dc.description4.019 ; 23 ;en_US
dc.descriptionen_US
dc.description.abstractThis book brings together the latest research in this new and exciting area of visualization, looking at classifying and modelling cognitive biases, together with user studies which reveal their undesirable impact on human judgement, and demonstrating how visual analytic techniques can provide effective support for mitigating key biases. A comprehensive coverage of this very relevant topic is provided though this collection of extended papers from the successful DECISIVe workshop at IEEE VIS, together with an introduction to cognitive biases and an invited chapter from a leading expert in intelligence analysis. Cognitive Biases in Visualizations will be of interest to a wide audience from those studying cognitive biases to visualization designers and practitioners. It offers a choice of research frameworks, help with the design of user studies, and proposals for the effective measurement of biases. The impact of human visualization literacy, competence and human cognition on cognitive biases are also examined, as well as the notion of system-induced biases. The well referenced chapters provide an excellent starting point for gaining an awareness of the detrimental effect that some cognitive biases can have on usersee decision-making. Human behavior is complex and we are only just starting to unravel the processes involved and investigate ways in which the computer can assist, however the final section supports the prospect that visual analytics, in particular, can counter some of the more common cognitive errors, which have been proven to be so costly. ;en_US
dc.description.statementofresponsibilityedited by Geoffrey Ellis.en_US
dc.description.tableofcontentsSo, What are Cognitive Biasese -- Part I - Bias Definitions, Perspectives and Modelling -- Studying Biases in Visualization Research: Framework and Methods -- Four Perspectives on Human Bias in Visual Analytics -- Bias by Defaulte A Means for a Priori Interface Measurement -- Part II - Cognitive Biases in Action -- Methods for Discovering Cognitive Biases in a Visual Analytics Environment -- Experts' Vs Optimality of Visualization Design- Data Visualization Literacy and Visualization Biases: Cases for Merging Parallel Threads -- The Biases of Thinking Fast and Thinking Slow -- Part III - Mitigation strategies -- Experimentally Evaluating Bias-Reducing Visual Analytics Techniques in Intelligence Analysis -- Promoting Representational Fluency for Cognitive Bias Mitigation in Information Visualization -- Designing Breadth-Oriented Data Exploration for Mitigating Cognitive Biases -- A Visualization Approach to Addressing Reviewer Bias in Holistic College Admissions -- Cognitive Biases in Visual Analytics: A Critical Reflection. ;en_US
dc.format.extentXII, 184 p. 31 illus., 27 illus. in color. ; online resource. ;en_US
dc.publisherSpringer International Publishing :en_US
dc.publisherImprint: Springer,en_US
dc.relation.haspart9783319958309.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectConsciousness. ;en_US
dc.subjectVisualization. ;en_US
dc.subjectUser Interfaces and Human Computer Interactionen_US
dc.subjectCognitive Psychology. ; http://scigraph.springernature.com/things/product-market-codes/Y20060. ;en_US
dc.subjectVisualization. ; http://scigraph.springernature.com/things/product-market-codes/M14034. ;en_US
dc.titleCognitive Biases in Visualizationsen_US
dc.typeBooken_US
dc.publisher.placeCham :en_US
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9783319958309.pdf4.76 MBAdobe PDFThumbnail
Preview File
Full metadata record
DC FieldValueLanguage
dc.contributor.authorEllis, Geoffrey. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:25:52Z-
dc.date.available2020-05-17T08:25:52Z-
dc.date.issued2018en_US
dc.identifier.isbn9783319958316 ;en_US
dc.identifier.isbn9783319958309 (print) ;en_US
dc.identifier.isbn9783319958323 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/1152-
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9783319958309. ;en_US
dc.description005.437 ; 23 ;en_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionQA76.9.H85 ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9783319958323. ;en_US
dc.description4.019 ; 23 ;en_US
dc.descriptionen_US
dc.description.abstractThis book brings together the latest research in this new and exciting area of visualization, looking at classifying and modelling cognitive biases, together with user studies which reveal their undesirable impact on human judgement, and demonstrating how visual analytic techniques can provide effective support for mitigating key biases. A comprehensive coverage of this very relevant topic is provided though this collection of extended papers from the successful DECISIVe workshop at IEEE VIS, together with an introduction to cognitive biases and an invited chapter from a leading expert in intelligence analysis. Cognitive Biases in Visualizations will be of interest to a wide audience from those studying cognitive biases to visualization designers and practitioners. It offers a choice of research frameworks, help with the design of user studies, and proposals for the effective measurement of biases. The impact of human visualization literacy, competence and human cognition on cognitive biases are also examined, as well as the notion of system-induced biases. The well referenced chapters provide an excellent starting point for gaining an awareness of the detrimental effect that some cognitive biases can have on usersee decision-making. Human behavior is complex and we are only just starting to unravel the processes involved and investigate ways in which the computer can assist, however the final section supports the prospect that visual analytics, in particular, can counter some of the more common cognitive errors, which have been proven to be so costly. ;en_US
dc.description.statementofresponsibilityedited by Geoffrey Ellis.en_US
dc.description.tableofcontentsSo, What are Cognitive Biasese -- Part I - Bias Definitions, Perspectives and Modelling -- Studying Biases in Visualization Research: Framework and Methods -- Four Perspectives on Human Bias in Visual Analytics -- Bias by Defaulte A Means for a Priori Interface Measurement -- Part II - Cognitive Biases in Action -- Methods for Discovering Cognitive Biases in a Visual Analytics Environment -- Experts' Vs Optimality of Visualization Design- Data Visualization Literacy and Visualization Biases: Cases for Merging Parallel Threads -- The Biases of Thinking Fast and Thinking Slow -- Part III - Mitigation strategies -- Experimentally Evaluating Bias-Reducing Visual Analytics Techniques in Intelligence Analysis -- Promoting Representational Fluency for Cognitive Bias Mitigation in Information Visualization -- Designing Breadth-Oriented Data Exploration for Mitigating Cognitive Biases -- A Visualization Approach to Addressing Reviewer Bias in Holistic College Admissions -- Cognitive Biases in Visual Analytics: A Critical Reflection. ;en_US
dc.format.extentXII, 184 p. 31 illus., 27 illus. in color. ; online resource. ;en_US
dc.publisherSpringer International Publishing :en_US
dc.publisherImprint: Springer,en_US
dc.relation.haspart9783319958309.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectConsciousness. ;en_US
dc.subjectVisualization. ;en_US
dc.subjectUser Interfaces and Human Computer Interactionen_US
dc.subjectCognitive Psychology. ; http://scigraph.springernature.com/things/product-market-codes/Y20060. ;en_US
dc.subjectVisualization. ; http://scigraph.springernature.com/things/product-market-codes/M14034. ;en_US
dc.titleCognitive Biases in Visualizationsen_US
dc.typeBooken_US
dc.publisher.placeCham :en_US
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9783319958309.pdf4.76 MBAdobe PDFThumbnail
Preview File
Full metadata record
DC FieldValueLanguage
dc.contributor.authorEllis, Geoffrey. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:25:52Z-
dc.date.available2020-05-17T08:25:52Z-
dc.date.issued2018en_US
dc.identifier.isbn9783319958316 ;en_US
dc.identifier.isbn9783319958309 (print) ;en_US
dc.identifier.isbn9783319958323 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/1152-
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9783319958309. ;en_US
dc.description005.437 ; 23 ;en_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionQA76.9.H85 ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9783319958323. ;en_US
dc.description4.019 ; 23 ;en_US
dc.descriptionen_US
dc.description.abstractThis book brings together the latest research in this new and exciting area of visualization, looking at classifying and modelling cognitive biases, together with user studies which reveal their undesirable impact on human judgement, and demonstrating how visual analytic techniques can provide effective support for mitigating key biases. A comprehensive coverage of this very relevant topic is provided though this collection of extended papers from the successful DECISIVe workshop at IEEE VIS, together with an introduction to cognitive biases and an invited chapter from a leading expert in intelligence analysis. Cognitive Biases in Visualizations will be of interest to a wide audience from those studying cognitive biases to visualization designers and practitioners. It offers a choice of research frameworks, help with the design of user studies, and proposals for the effective measurement of biases. The impact of human visualization literacy, competence and human cognition on cognitive biases are also examined, as well as the notion of system-induced biases. The well referenced chapters provide an excellent starting point for gaining an awareness of the detrimental effect that some cognitive biases can have on usersee decision-making. Human behavior is complex and we are only just starting to unravel the processes involved and investigate ways in which the computer can assist, however the final section supports the prospect that visual analytics, in particular, can counter some of the more common cognitive errors, which have been proven to be so costly. ;en_US
dc.description.statementofresponsibilityedited by Geoffrey Ellis.en_US
dc.description.tableofcontentsSo, What are Cognitive Biasese -- Part I - Bias Definitions, Perspectives and Modelling -- Studying Biases in Visualization Research: Framework and Methods -- Four Perspectives on Human Bias in Visual Analytics -- Bias by Defaulte A Means for a Priori Interface Measurement -- Part II - Cognitive Biases in Action -- Methods for Discovering Cognitive Biases in a Visual Analytics Environment -- Experts' Vs Optimality of Visualization Design- Data Visualization Literacy and Visualization Biases: Cases for Merging Parallel Threads -- The Biases of Thinking Fast and Thinking Slow -- Part III - Mitigation strategies -- Experimentally Evaluating Bias-Reducing Visual Analytics Techniques in Intelligence Analysis -- Promoting Representational Fluency for Cognitive Bias Mitigation in Information Visualization -- Designing Breadth-Oriented Data Exploration for Mitigating Cognitive Biases -- A Visualization Approach to Addressing Reviewer Bias in Holistic College Admissions -- Cognitive Biases in Visual Analytics: A Critical Reflection. ;en_US
dc.format.extentXII, 184 p. 31 illus., 27 illus. in color. ; online resource. ;en_US
dc.publisherSpringer International Publishing :en_US
dc.publisherImprint: Springer,en_US
dc.relation.haspart9783319958309.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectConsciousness. ;en_US
dc.subjectVisualization. ;en_US
dc.subjectUser Interfaces and Human Computer Interactionen_US
dc.subjectCognitive Psychology. ; http://scigraph.springernature.com/things/product-market-codes/Y20060. ;en_US
dc.subjectVisualization. ; http://scigraph.springernature.com/things/product-market-codes/M14034. ;en_US
dc.titleCognitive Biases in Visualizationsen_US
dc.typeBooken_US
dc.publisher.placeCham :en_US
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9783319958309.pdf4.76 MBAdobe PDFThumbnail
Preview File