Z: Why vis?

Node: Visualizations help overcome cognitive biases

Descriptor OvercomeBiases
Argumentative standpoint Design
Description

Visualizations can be constructed to counteract some known cognitive biases by anticipating their effects and integrating counter-measures.

Last updated 3 years, 3 months ago (June 22, 2018) by Streeb, Dirk

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Incoming Links (3)

Publications (7)

S. M. Kosslyn 1989 Understanding Charts and Graphs 0 1 0 13 0
L. J. Trevena et al. 2013 Presenting Quantitative Information about Decision Outcomes: A Risk Communication Primer for Patient Decision Aid Developers 0 0 1 13 0
E. Dimara, P. Dragicevic and A. Bezerianos 2014 Accounting for Availability Biases in Information Visualization 0 0 1 5 0
Y. Zhang, R. K. E. Bellamy and W. A. Kellogg 2015 Designing Information for Remediating Cognitive Biases in Decision-Making 0 0 1 1 0
S. Tremblay et al. 2017 A cognitive prosthesis for complex decision-making 0 0 1 12 0
A. Dasgupta et al. 2017 Empirical Analysis of the Subjective Impressions and Objective Measures of Domain Scientists’ Visual Analytic Judgments 0 0 1 9 0
E. Dimara, A. Bezerianos and P. Dragicevic 2017 The Attraction Effect in Information Visualization 0 0 1 10 0
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Streeb, Dirk: S. M. Kosslyn [1989]: Understanding Charts and Graphs doi:10.1002/acp.2350030302 - 09.07.20 06:59 (+) Positive One or more sentences p. 195 For some purposes (e.g. conveying the general impression), it may be appropriate to alter marks intentionally to compensate for the distorting properties of the visual system
Streeb, Dirk: L. J. Trevena et al. [2013]: Presenting Quantitative Information about Decision Outcomes: A Risk Communication Primer for Patient Decision Aid Developers doi:10.1186/1472-6947-13-S2-S7 - 19.03.18 07:22 (+) Positive One or more sentences p. 6 Visual displays can help reduce several biases, such as denominator neglect, framing effects, and the undue influence of anecdotes.
Streeb, Dirk: L. J. Trevena et al. [2013]: Presenting Quantitative Information about Decision Outcomes: A Risk Communication Primer for Patient Decision Aid Developers doi:10.1186/1472-6947-13-S2-S7 - 19.03.18 07:22 (+) Positive One or more sentences p. 4 Visual formats may also help to reduce bias.
Streeb, Dirk: E. Dimara, A. Bezerianos and P. Dragicevic [2017]: The Attraction Effect in Information Visualization doi:10.1109/TVCG.2016.2598594 - 25.01.18 15:56 (+-) Ambivalent
Streeb, Dirk: S. Tremblay et al. [2017]: A cognitive prosthesis for complex decision-making doi:10.1016/j.apergo.2016.07.009 - 25.01.18 15:49 (+) Positive
Streeb, Dirk: A. Dasgupta et al. [2017]: Empirical Analysis of the Subjective Impressions and Objective Measures of Domain Scientists’ Visual Analytic Judgments doi:10.1145/3025453.3025882 - 25.01.18 15:09 (+) Positive
Streeb, Dirk: Y. Zhang, R. K. E. Bellamy and W. A. Kellogg [2015]: Designing Information for Remediating Cognitive Biases in Decision-Making doi:10.1145/2702123.2702239 - 25.01.18 13:57 (+-) Ambivalent
Streeb, Dirk: E. Dimara, P. Dragicevic and A. Bezerianos [2014]: Accounting for Availability Biases in Information Visualization - 25.01.18 13:35 (+) Positive
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