@article{ref1,
title="The formation of preference in risky choice",
journal="PLoS computational biology",
year="2019",
author="Glickman, Moshe and Sharoni, Orian and Levy, Dino J. and Niebur, Ernst and Stuphorn, Veit and Usher, Marius",
volume="15",
number="8",
pages="e1007201-e1007201",
abstract="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.<p /> <p>Language: en</p>",
language="en",
issn="1553-734X",
doi="10.1371/journal.pcbi.1007201",
url="http://dx.doi.org/10.1371/journal.pcbi.1007201"
}