The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Cognitive Biases and Data Visualization
|
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
|
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.
|
|
|