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Research Article

Adaptable history biases in human perceptual decisions

Arman Abrahamyan, Laura Luz Silva, Steven C. Dakin, View ORCID ProfileMatteo Carandini, and Justin L. Gardner
  1. aDepartment of Psychology and Neurosciences Institute, Stanford University, Stanford, CA 94305;
  2. bLaboratory for Human Systems Neuroscience, RIKEN Brain Science Institute, Wako-shi, Saitama 351-0198, Japan;
  3. cUCL Institute of Ophthalmology, University College London, London EC1V 9EL, United Kingdom

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PNAS June 21, 2016 113 (25) E3548-E3557; first published June 2, 2016; https://doi.org/10.1073/pnas.1518786113
Arman Abrahamyan
aDepartment of Psychology and Neurosciences Institute, Stanford University, Stanford, CA 94305;
bLaboratory for Human Systems Neuroscience, RIKEN Brain Science Institute, Wako-shi, Saitama 351-0198, Japan;
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  • For correspondence: armana@stanford.edu
Laura Luz Silva
cUCL Institute of Ophthalmology, University College London, London EC1V 9EL, United Kingdom
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Steven C. Dakin
cUCL Institute of Ophthalmology, University College London, London EC1V 9EL, United Kingdom
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Matteo Carandini
cUCL Institute of Ophthalmology, University College London, London EC1V 9EL, United Kingdom
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  • ORCID record for Matteo Carandini
Justin L. Gardner
aDepartment of Psychology and Neurosciences Institute, Stanford University, Stanford, CA 94305;
bLaboratory for Human Systems Neuroscience, RIKEN Brain Science Institute, Wako-shi, Saitama 351-0198, Japan;
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  1. Edited by J. Anthony Movshon, New York University, New York, NY, and approved May 9, 2016 (received for review September 21, 2015)

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Significance

Adapting to the environment requires using feedback about previous decisions to make better future decisions. Sometimes, however, the past is not informative and taking it into consideration leads to worse decisions. In psychophysical experiments, for instance, humans use past feedback when they should ignore it and thus make worse decisions. Those choice history biases persist even in disadvantageous contexts. To test this persistence, we adjusted trial sequence statistics. Subjects adapted strongly when the statistics confirmed their biases, but much less in the opposite direction; existing biases could not be eradicated. Thus, even in our simplest sensory decisions, we exhibit a form of confirmation bias in which existing choice history strategies are easier to reinforce than to relinquish.

Abstract

When making choices under conditions of perceptual uncertainty, past experience can play a vital role. However, it can also lead to biases that worsen decisions. Consistent with previous observations, we found that human choices are influenced by the success or failure of past choices even in a standard two-alternative detection task, where choice history is irrelevant. The typical bias was one that made the subject switch choices after a failure. These choice history biases led to poorer performance and were similar for observers in different countries. They were well captured by a simple logistic regression model that had been previously applied to describe psychophysical performance in mice. Such irrational biases seem at odds with the principles of reinforcement learning, which would predict exquisite adaptability to choice history. We therefore asked whether subjects could adapt their irrational biases following changes in trial order statistics. Adaptability was strong in the direction that confirmed a subject’s default biases, but weaker in the opposite direction, so that existing biases could not be eradicated. We conclude that humans can adapt choice history biases, but cannot easily overcome existing biases even if irrational in the current context: adaptation is more sensitive to confirmatory than contradictory statistics.

  • decision making
  • choice bias
  • bias adaptation
  • choice history
  • computational modeling

Footnotes

  • ↵1To whom correspondence should be addressed. Email: armana{at}stanford.edu.
  • ↵2Present address: UCL Philosophy Department, University College London, London WC1E 6BT, United Kingdom.

  • ↵3Present address: School of Optometry and Vision Science, University of Auckland, Auckland 1142, New Zealand.

  • Author contributions: A.A., S.C.D., M.C., and J.L.G. designed research; A.A., L.L.S., and M.C. performed research; A.A., L.L.S., and M.C. analyzed data; A.A., M.C., and J.L.G. wrote the paper; and S.C.D. provided software and hardware and organized experiments.

  • The authors declare no conflict of interest.

  • This article is a PNAS Direct Submission.

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Adaptable history biases in perceptual decisions
Arman Abrahamyan, Laura Luz Silva, Steven C. Dakin, Matteo Carandini, Justin L. Gardner
Proceedings of the National Academy of Sciences Jun 2016, 113 (25) E3548-E3557; DOI: 10.1073/pnas.1518786113

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Adaptable history biases in perceptual decisions
Arman Abrahamyan, Laura Luz Silva, Steven C. Dakin, Matteo Carandini, Justin L. Gardner
Proceedings of the National Academy of Sciences Jun 2016, 113 (25) E3548-E3557; DOI: 10.1073/pnas.1518786113
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Proceedings of the National Academy of Sciences: 113 (25)
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