Literature DB >> 27161500

Variance After-Effects Distort Risk Perception in Humans.

Elise Payzan-LeNestour1, Bernard W Balleine2, Tony Berrada3, Joel Pearson4.   

Abstract

In many contexts, decision-making requires an accurate representation of outcome variance-otherwise known as "risk" in economics. Conventional economic theory assumes this representation to be perfect, thereby focusing on risk preferences rather than risk perception per se [1-3] (but see [4]). However, humans often misrepresent their physical environment. Perhaps the most striking of such misrepresentations are the many well-known sensory after-effects, which most commonly involve visual properties, such as color, contrast, size, and motion. For example, viewing downward motion of a waterfall induces the anomalous biased experience of upward motion during subsequent viewing of static rocks to the side [5]. Given that after-effects are pervasive, occurring across a wide range of time horizons [6] and stimulus dimensions (including properties such as face perception [7, 8], gender [9], and numerosity [10]), and that some evidence exists that neurons show adaptation to variance in the sole visual feature of motion [11], we were interested in assessing whether after-effects distort variance perception in humans. We found that perceived variance is decreased after prolonged exposure to high variance and increased after exposure to low variance within a number of different visual representations of variance. We demonstrate these after-effects occur across very different visual representations of variance, suggesting that these effects are not sensory, but operate at a high (cognitive) level of information processing. These results suggest, therefore, that variance constitutes an independent cognitive property and that prolonged exposure to extreme variance distorts risk perception-a fundamental challenge for economic theory and practice.
Copyright © 2016 Elsevier Ltd. All rights reserved.

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Year:  2016        PMID: 27161500     DOI: 10.1016/j.cub.2016.04.023

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  4 in total

1.  Serial dependence in the perception of visual variance.

Authors:  Marta Suárez-Pinilla; Anil K Seth; Warrick Roseboom
Journal:  J Vis       Date:  2018-07-02       Impact factor: 2.240

2.  Ensemble perception of color in autistic adults.

Authors:  John Maule; Kirstie Stanworth; Elizabeth Pellicano; Anna Franklin
Journal:  Autism Res       Date:  2016-11-22       Impact factor: 5.216

3.  Impact of ambient sound on risk perception in humans: neuroeconomic investigations.

Authors:  Elise Payzan-LeNestour; Lionnel Pradier; James Doran; Gideon Nave; Bernard Balleine
Journal:  Sci Rep       Date:  2021-03-08       Impact factor: 4.379

4.  Context Effects in the Judgment of Visual Relative-Frequency: Trial-by-Trial Adaptation and Non-linear Sequential Effect.

Authors:  Xiangjuan Ren; Muzhi Wang; Hang Zhang
Journal:  Front Psychol       Date:  2018-09-12
  4 in total

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