PLoS Computational Biology (Aug 2019)

The formation of preference in risky choice.

  • Moshe Glickman,
  • Orian Sharoni,
  • Dino J Levy,
  • Ernst Niebur,
  • Veit Stuphorn,
  • Marius Usher

DOI
https://doi.org/10.1371/journal.pcbi.1007201
Journal volume & issue
Vol. 15, no. 8
p. e1007201

Abstract

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A key question in decision-making is how people integrate amounts and probabilities to form preferences between risky alternatives. Here we rely on the general principle of integration-to-boundary to develop several biologically plausible process models of risky-choice, which account for both choices and response-times. These models allowed us to contrast two influential competing theories: i) within-alternative evaluations, based on multiplicative interaction between amounts and probabilities, ii) within-attribute comparisons across alternatives. To constrain the preference formation process, we monitored eye-fixations during decisions between pairs of simple lotteries, designed to systematically span the decision-space. The behavioral results indicate that the participants' eye-scanning patterns were associated with risk-preferences and expected-value maximization. Crucially, model comparisons showed that within-alternative process models decisively outperformed within-attribute ones, in accounting for choices and response-times. These findings elucidate the psychological processes underlying preference formation when making risky-choices, and suggest that compensatory, within-alternative integration is an adaptive mechanism employed in human decision-making.