Next Steps in Research on Human Bias in Visual Data Analysis

Synthesis lectures on visualization 2026 Book chapter Open access

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Authors: Emily Wall
DOI: 10.1007/978-3-032-09307-3_8
Cited by: 0
References: 28

Abstract

This book has compiled research on bias in visual data analysis, in the first three parts focusing on how to define, measure, and mitigate those biases. In Part IV, we peer forward to identify important future directions and provocations to further the agenda toward improved visual data analysis practices.

Fields of Study & Subjects

Data Visualization and Analytics Ethics and Social Impacts of AI Explainable Artificial Intelligence (XAI)

Publication details

Journal / source
Synthesis lectures on visualization
Pages
221–229
Publication date
1 January 2026
Language
EN
Document type
Book chapter