Human Bias in Visual Data Analysis: A Synthesis of Research to Empower Decision Makers
Author:   Emily Wall
Publisher:   Springer Nature Switzerland AG
ISBN:  

9783032093066


Pages:   229
Publication Date:   13 January 2026
Format:   Hardback
Availability:   In Print   Availability explained
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Human Bias in Visual Data Analysis: A Synthesis of Research to Empower Decision Makers


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Author:   Emily Wall
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032093066


ISBN 10:   3032093066
Pages:   229
Publication Date:   13 January 2026
Audience:   General/trade ,  Professional and scholarly ,  General ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Introduction.- Biases in Computational Systems.- Biases in Humans.- Detecting Biases in Visual Data Analysis.- Mitigating Biases in Visual Data Analysis.- A Case Study on Empowering Decision Makers in University Admissions.- Future Directions.- Conclusion.

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Author Information

Dr. Emily Wall is an Assistant Professor of Computer Science at Emory University where she directs the Cognition and Visualization (CAV) Lab. She and her students work on problems that involve decision making using visual data analysis, including developing computational strategies to characterize human limitations in decision making (e.g., cognitive bias) and designing and building interventions that promote reflective data analysis and decision making practices. She completed her Ph.D. in Computer Science at Georgia Tech in 2020, then completed a postdoctoral fellowship at Northwestern University. Her dissertation work was recognized with an honorable mention for Best Dissertation by the Visualization and Graphics Technical Community (TVCG). Her work has since been funded by the National Science Foundation, including a CAREER award for her work on “Promoting Metacognition in Visual Analytics.""

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