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A metacognitive approach to the study of motion-induced duration biases reveals inter-individual differences in forming confidence judgments

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posted on 2023-05-03, 14:48 authored by A Bruno, J Sudkamp, D Souto
Our ability to estimate the duration of subsecond visual events is prone to distortions, which depend on both sensory and decisional factors. To disambiguate between these two influences, we can look at the alignment between discrimination estimates of duration at the point of subjective equality and confidence estimates when the confidence about decisions is minimal, because observers should be maximally uncertain when two stimuli are perceptually the same. Here, we used this approach to investigate the relationship between the speed of a visual stimulus and its perceived duration. Participants were required to compare two intervals, report which had the longer duration, and then rate their confidence in that judgment. One of the intervals contained a stimulus drifting at a constant speed, whereas the stimulus embedded in the other interval could be stationary, linearly accelerating or decelerating, or drifting at the same speed. Discrimination estimates revealed duration compression for the stationary stimuli and, to a lesser degree, for the accelerating and decelerating stimuli. Confidence showed a similar pattern, but, overall, the confidence estimates were shifted more toward higher durations, pointing to a small contribution of decisional processes. A simple observer model, which assumes that both judgments are based on the same sensory information, captured well inter-individual differences in the criterion used to form a confidence judgment.

History

Author affiliation

School of Psychology and Vision Science, University of Leicester

Version

  • VoR (Version of Record)

Published in

Journal of vision

Volume

23

Issue

3

Pagination

1-20

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

issn

1534-7362

eissn

1534-7362

Copyright date

2023

Available date

2023-05-03

Spatial coverage

United States

Language

eng

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