Cognitive biases in visualizations / Geoffrey Ellis, editor.
Ellis, Geoffrey, editor.
2018
QA76.9.I52
Available Online

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Title Cognitive biases in visualizations / Geoffrey Ellis, editor.
ISBN 9783319958316 (electronic book)
3319958313 (electronic book)
9783319958309
3319958305
DOI https://doi.org/10.1007/978-3-319-95831-6
Published Cham, Switzerland : Springer, [2018]
Copyright ©2018
Language English
Description 1 online resource : illustrations
Item Number 10.1007/978-3-319-95831-6 doi
Call Number QA76.9.I52
Dewey Decimal Classification 001.4/226
Summary 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 users' 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.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Source of Description Online resource; title from PDF title page (viewed October 8, 2018).
Added Author Ellis, Geoffrey, editor.
Available in Other Form Print version: 9783319958309
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Record Appears in Online Resources > Ebooks
All Resources
So, What are Cognitive Biases?
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 Default? 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.

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