Do humans produce the speed-accuracy tradeoff that maximizes reward rate?

Rafal Bogacz, Peter Hu, Philip Holmes, Jonathan Cohen

Research output: Contribution to journalArticle (Academic Journal)peer-review


In this paper we investigate tradeoffs between speed and accuracy that are produced by humans when confronted with a sequence of choices between two alternatives. We assume that the choice process is described by the drift diffusion model, in which the speed-accuracy tradeoff is primarily controlled by the value of the decision threshold. We test the hypothesis that participants choose the decision threshold that maximizes reward rate, defined as an average number of rewards per unit of time. In particular, we test four predictions derived on the basis of this hypothesis in two behavioural experiments. The data from all participants of our experiments provide support only for some of the predictions, and on average the participants are slower and more accurate than predicted by reward rate maximization. However, when we limit our analysis to subgroups of 30-50% of participants who earned the highest overall rewards, all the predictions are satisfied by the data. This suggests that a substantial subset of participants do select decision thresholds that maximize reward rate. We also discuss possible reasons why the remaining participants select thresholds higher than optimal, including the possibility that participants optimize a combination of reward rate and accuracy or that they compensate for the influence of timing uncertainty, or both.
Translated title of the contributionDo humans produce the speed-accuracy tradeoff that maximizes reward rate?
Original languageEnglish
Article number863-891
JournalQuarterly Journal of Experimental Psychology
Publication statusPublished - 2010

Bibliographical note

Other identifier: 2001017


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