Requiem for the max rule?

Wei Ji Ma, Shan Shen, Gintare Dziugaite, Ronald van den Berg

Research output: Contribution to journalArticlepeer-review

Abstract

In tasks such as visual search and change detection, a key question is how observers integrate noisy measurements from multiple locations to make a decision. Decision rules proposed to model this process have fallen into two categories: Bayes-optimal (ideal observer) rules and ad-hoc rules. Among the latter, the maximum-of-outputs (max) rule has been the most prominent. Reviewing recent work and performing new model comparisons across a range of paradigms, we find that in all cases except for one, the optimal rule describes human data as well as or better than every max rule either previously proposed or newly introduced here. This casts doubt on the utility of the max rule for understanding perceptual decision-making.

Original languageEnglish (US)
Pages (from-to)179-193
Number of pages15
JournalVision research
Volume116
DOIs
StatePublished - Nov 1 2015

Keywords

  • Change detection
  • Computational models
  • Decision rules
  • Ideal observer
  • Visual search

ASJC Scopus subject areas

  • Ophthalmology
  • Sensory Systems

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