IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Cognitive Biases and Data Visualization

Cognitive Biases and Data Visualization
View Sample PDF
Author(s): Billie Anderson (University of Missouri-Kansas City, USA)and J. Michael Hardin (Samford University, USA)
Copyright: 2023
Pages: 13
Source title: Encyclopedia of Data Science and Machine Learning
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-7998-9220-5.ch076

Purchase

View Cognitive Biases and Data Visualization on the publisher's website for pricing and purchasing information.

Abstract

This article will provide background on cognitive biases related to data visualizations, with a particular interest towards visual analytics in big data environments. Cognitive biases that appear in visualizations will be discussed. A review of recent studies related to designing experiments to mitigate cognitive biases in data visualizations will be presented. Recommendations, using applied frameworks for detecting and mitigating biases in single visualizations and visual analytic systems, will be provided to practitioners.

Related Content

Princy Pappachan, Sreerakuvandana, Mosiur Rahaman. © 2024. 26 pages.
Winfred Yaokumah, Charity Y. M. Baidoo, Ebenezer Owusu. © 2024. 23 pages.
Mario Casillo, Francesco Colace, Brij B. Gupta, Francesco Marongiu, Domenico Santaniello. © 2024. 25 pages.
Suchismita Satapathy. © 2024. 19 pages.
Xinyi Gao, Minh Nguyen, Wei Qi Yan. © 2024. 13 pages.
Mario Casillo, Francesco Colace, Brij B. Gupta, Angelo Lorusso, Domenico Santaniello, Carmine Valentino. © 2024. 30 pages.
Pratyay Das, Amit Kumar Shankar, Ahona Ghosh, Sriparna Saha. © 2024. 32 pages.
Body Bottom