Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/1152
Title: Cognitive Biases in Visualizations
Authors: Ellis, Geoffrey. ;
subject: Computer Science;Consciousness. ;;Visualization. ;;User Interfaces and Human Computer Interaction;Cognitive Psychology. ; http://scigraph.springernature.com/things/product-market-codes/Y20060. ;;Visualization. ; http://scigraph.springernature.com/things/product-market-codes/M14034. ;
Year: 2018
place: Cham :
Publisher: Springer International Publishing :
Imprint: Springer,
Abstract: This 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. ;
Description: 

Printed edition: ; 9783319958309. ;
005.437 ; 23 ;
SpringerLink (Online service) ;
QA76.9.H85 ;



Printed edition: ; 9783319958323. ;
4.019 ; 23 ;
URI: http://localhost/handle/Hannan/1152
ISBN: 9783319958316 ;
9783319958309 (print) ;
9783319958323 (print) ;
More Information: XII, 184 p. 31 illus., 27 illus. in color. ; online resource. ;
Appears in Collections:مدیریت فناوری اطلاعات

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Title: Cognitive Biases in Visualizations
Authors: Ellis, Geoffrey. ;
subject: Computer Science;Consciousness. ;;Visualization. ;;User Interfaces and Human Computer Interaction;Cognitive Psychology. ; http://scigraph.springernature.com/things/product-market-codes/Y20060. ;;Visualization. ; http://scigraph.springernature.com/things/product-market-codes/M14034. ;
Year: 2018
place: Cham :
Publisher: Springer International Publishing :
Imprint: Springer,
Abstract: This 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. ;
Description: 

Printed edition: ; 9783319958309. ;
005.437 ; 23 ;
SpringerLink (Online service) ;
QA76.9.H85 ;



Printed edition: ; 9783319958323. ;
4.019 ; 23 ;
URI: http://localhost/handle/Hannan/1152
ISBN: 9783319958316 ;
9783319958309 (print) ;
9783319958323 (print) ;
More Information: XII, 184 p. 31 illus., 27 illus. in color. ; online resource. ;
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9783319958309.pdf4.76 MBAdobe PDFThumbnail
Preview File
Title: Cognitive Biases in Visualizations
Authors: Ellis, Geoffrey. ;
subject: Computer Science;Consciousness. ;;Visualization. ;;User Interfaces and Human Computer Interaction;Cognitive Psychology. ; http://scigraph.springernature.com/things/product-market-codes/Y20060. ;;Visualization. ; http://scigraph.springernature.com/things/product-market-codes/M14034. ;
Year: 2018
place: Cham :
Publisher: Springer International Publishing :
Imprint: Springer,
Abstract: This 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. ;
Description: 

Printed edition: ; 9783319958309. ;
005.437 ; 23 ;
SpringerLink (Online service) ;
QA76.9.H85 ;



Printed edition: ; 9783319958323. ;
4.019 ; 23 ;
URI: http://localhost/handle/Hannan/1152
ISBN: 9783319958316 ;
9783319958309 (print) ;
9783319958323 (print) ;
More Information: XII, 184 p. 31 illus., 27 illus. in color. ; online resource. ;
Appears in Collections:مدیریت فناوری اطلاعات

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