Literature DB >> 22395127

Comparison of the distortion of probability information in decision under risk and an equivalent visual task.

Craig Glaser1, Julia Trommershäuser, Pascal Mamassian, Laurence T Maloney.   

Abstract

Decision makers typically overweight small probabilities and underweight large probabilities. However, there are recent reports that when probability is presented in the form of relative frequencies, this typical pattern reverses. We tested this hypothesis by comparing decision making in two tasks: In one task, probability was stated numerically, and in the other task, it was conveyed through a visual representation. In the visual task, participants chose whether a "stochastic bullet" should be fired at either a large target for a small reward or a small target for a large reward. Participants' knowledge of probability in the visual task was the result of extensive practice firing bullets at targets. In the classical numerical task, participants chose between pairs of lotteries with probabilities and rewards matched to the probabilities and rewards in the visual task. We found that participants' probability-weighting functions were significantly different in the two tasks, but the pattern for the visual task was the typical, not the reversed, pattern.

Entities:  

Mesh:

Year:  2012        PMID: 22395127      PMCID: PMC3556465          DOI: 10.1177/0956797611429798

Source DB:  PubMed          Journal:  Psychol Sci        ISSN: 0956-7976


  11 in total

1.  On the shape of the probability weighting function.

Authors:  R Gonzalez; G Wu
Journal:  Cogn Psychol       Date:  1999-02       Impact factor: 3.468

Review 2.  Adaptive procedures in psychophysical research.

Authors:  M R Leek
Journal:  Percept Psychophys       Date:  2001-11

3.  Statistical decision theory and trade-offs in the control of motor response.

Authors:  Julia Trommershäuser; Laurence T Maloney; Michael S Landy
Journal:  Spat Vis       Date:  2003

4.  Statistical decision theory and the selection of rapid, goal-directed movements.

Authors:  Julia Trommershäuser; Laurence T Maloney; Michael S Landy
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2003-07       Impact factor: 2.129

5.  Decisions from experience and the effect of rare events in risky choice.

Authors:  Ralph Hertwig; Greg Barron; Elke U Weber; Ido Erev
Journal:  Psychol Sci       Date:  2004-08

6.  Economic decision-making compared with an equivalent motor task.

Authors:  Shih-Wei Wu; Mauricio R Delgado; Laurence T Maloney
Journal:  Proc Natl Acad Sci U S A       Date:  2009-03-30       Impact factor: 11.205

7.  The Psychophysics Toolbox.

Authors:  D H Brainard
Journal:  Spat Vis       Date:  1997

8.  The neural correlates of subjective utility of monetary outcome and probability weight in economic and in motor decision under risk.

Authors:  Shih-Wei Wu; Mauricio R Delgado; Laurence T Maloney
Journal:  J Neurosci       Date:  2011-06-15       Impact factor: 6.167

9.  Are probabilities overweighted or underweighted when rare outcomes are experienced (rarely)?

Authors:  Christoph Ungemach; Nick Chater; Neil Stewart
Journal:  Psychol Sci       Date:  2009-04

10.  Decision making, movement planning and statistical decision theory.

Authors:  Julia Trommershäuser; Laurence T Maloney; Michael S Landy
Journal:  Trends Cogn Sci       Date:  2008-07-07       Impact factor: 20.229

View more
  4 in total

1.  Hierarchical decision processes that operate over distinct timescales underlie choice and changes in strategy.

Authors:  Braden A Purcell; Roozbeh Kiani
Journal:  Proc Natl Acad Sci U S A       Date:  2016-07-18       Impact factor: 11.205

2.  Perceptuo-motor, cognitive, and description-based decision-making seem equally good.

Authors:  Andreas Jarvstad; Ulrike Hahn; Simon K Rushton; Paul A Warren
Journal:  Proc Natl Acad Sci U S A       Date:  2013-09-18       Impact factor: 11.205

3.  Rapid decisions from experience.

Authors:  Matthew D Zeigenfuse; Timothy J Pleskac; Taosheng Liu
Journal:  Cognition       Date:  2014-02-16

4.  Ubiquitous log odds: a common representation of probability and frequency distortion in perception, action, and cognition.

Authors:  Hang Zhang; Laurence T Maloney
Journal:  Front Neurosci       Date:  2012-01-19       Impact factor: 4.677

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.