Khoudary, Ari; Bornstein, Aaron; Peters, Megan; (2025) Investigating implicit and explicit expectations in perceptual decision making. In: Proceedings of the 47th Annual Meeting of the Cognitive Science Society. (pp. pp. 1-7). The Regents of the University of California

Preview

Text 2025_kpb_cogsci.pdf - Published Version Download (1MB) | Preview

Abstract

Expectations, or the prior probability of a choice outcome, are powerful sources of evidence for improving decision making under uncertainty. Most expectations in the real world are learned implicitly on the basis of statistical properties of observers' environments. However, most studies investigating effects of expectations on perceptual decisions explicitly instruct observers on prior probabilities within the experiment, and thus fail to capture the experience-dependent uncertainty of real-world expectation learning. Here, we report data from a novel expectation-guided perceptual decision making task specifically designed to address this gap. Human observers (n=21) learned, through experience, probabilistic relationships between cues and images. Then, they explicitly reported both an estimate of each cue's prediction and a confidence rating in that estimate before performing a cued perceptual decision task. We find that, although these measurements are highly correlated, confidence in an explicit report is the primary factor that interacts with implicit expectations to shape perceptual decisions.

Download activity - last month

Export as XMLCSVJSON

Download activity - last 12 months

Export as CSVXMLJSON

Downloads by country - last 12 months

Export as JSONXMLCSV

Archive Staff Only

View Item