What came before: Assimilation effects in the categorization of time intervals.

Assimilation effects Duration estimation Sequential effects Temporal bisection Time perception

Journal

Cognition
ISSN: 1873-7838
Titre abrégé: Cognition
Pays: Netherlands
ID NLM: 0367541

Informations de publication

Date de publication:
05 2023
Historique:
received: 07 09 2022
revised: 15 01 2023
accepted: 16 01 2023
pubmed: 28 1 2023
medline: 9 3 2023
entrez: 27 1 2023
Statut: ppublish

Résumé

Assimilation is the process by which one judgment tends to approach some aspect of another stimulus or judgment. This effect has been known for over half a century in various domains such as the judgment of weight or sound intensity. However, the assimilation of judgments of durations have been relatively unexplored. In the current article, we present the results of five experiments in which participant s were required to judge the duration of a visual stimulus on each trial. In each experiment, we manipulated the pattern of durations they experienced in order to systematically separate the effects of the objective and subjective duration of stimuli on subsequent judgments. We found that duration judgments were primarily driven by prior judgments, with little, if any, effect of the prior objective stimulus duration. This is in contrast to the findings previously reported in regards to non-temporal judgments. We propose two mechanist explanations of this effect; a representational account in which judgments represent the speed of an underlying pacemaker, and an assimilation account in which judgment is based in prior experience. We further discuss results in terms of predictive coding, in which the previous rating is representative of a prior expectation, which is modified by current experience.

Identifiants

pubmed: 36706494
pii: S0010-0277(23)00012-4
doi: 10.1016/j.cognition.2023.105378
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

105378

Informations de copyright

Copyright © 2023. Published by Elsevier B.V.

Auteurs

Jordan Wehrman (J)

University of Sydney, Australia. Electronic address: Jordan.Wehrman@sydney.edu.au.

Robert Sanders (R)

University of Sydney, Australia.

John Wearden (J)

Keele University, United Kingdom.

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Classifications MeSH