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A pupillary index of susceptibility to decision biases

Author

Listed:
  • Eran Eldar

    (The Hebrew University of Jerusalem
    The Hebrew University of Jerusalem)

  • Valkyrie Felso

    (Max Planck Institute for Intelligent Systems)

  • Jonathan D. Cohen

    (Princeton University
    Princeton University)

  • Yael Niv

    (Princeton University
    Princeton University)

Abstract

The demonstration that human decision-making can systematically violate the laws of rationality has had a wide impact on behavioural sciences. In this study, we use a pupillary index to adjudicate between two existing hypotheses about how irrational biases emerge: the hypothesis that biases result from fast, effortless processing and the hypothesis that biases result from more extensive integration. While effortless processing is associated with smaller pupillary responses, more extensive integration is associated with larger pupillary responses. Thus, we tested the relationship between pupil response and choice behaviour on six different foundational decision-making tasks that are classically used to demonstrate irrational biases. Participants demonstrated the expected systematic biases and their pupillary measurements satisfied pre-specified quality checks. Planned analyses returned inconclusive results, but exploratory examination of the data revealed an association between high pupillary responses and biased decisions. The findings provide preliminary support for the hypothesis that biases arise from gradual information integration. Protocol registration The stage 1 protocol for this Registered Report was accepted in principle on 19 December 2018. The protocol, as accepted by the journal, can be found at https://doi.org/10.6084/m9.figshare.c.4368452.v1 .

Suggested Citation

  • Eran Eldar & Valkyrie Felso & Jonathan D. Cohen & Yael Niv, 2021. "A pupillary index of susceptibility to decision biases," Nature Human Behaviour, Nature, vol. 5(5), pages 653-662, May.
  • Handle: RePEc:nat:nathum:v:5:y:2021:i:5:d:10.1038_s41562-020-01006-3
    DOI: 10.1038/s41562-020-01006-3
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