Article (Scientific journals)
Confidence judgment in a temporal generalization task: Accuracy and sensitivity to task difficulty
Lamotte, Mathilde; Droit-Volet, Sylvie; Izaute, Marie
2017In Année Psychologique, 117, p. 275-298
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Keywords :
time; timing; metacognition; confidence level estimates
Abstract :
[en] This study on metacognition of time examined the confidence judgment in the temporal generalization task when the difficulty of temporal discrimination increased, in three different standard duration conditions. The results showed that participants’ confidence judgments were accurate for all comparison durations similar to the standard duration and varied only for the comparison durations shorter or longer than the standard duration. The confidence judgment did not change with the standard duration condition; except for an overconfidence level for the comparison durations longer than the standard in the shortest standard duration condition. Moreover, the results showed that the overconfidence level increases with the increase in temporal discrimination difficulty, although an underconfidence level was found but only for the shortest comparison durations. The implication in terms of decision processes for the generalization temporal task and in terms of metacognitive processes are discussed.
Research center :
Disciplines :
Theoretical & cognitive psychology
Author, co-author :
Lamotte, Mathilde ;  University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Integrative Research Unit: Social and Individual Development (INSIDE)
Droit-Volet, Sylvie
Izaute, Marie
External co-authors :
Language :
Title :
Confidence judgment in a temporal generalization task: Accuracy and sensitivity to task difficulty
Publication date :
Journal title :
Année Psychologique
Publisher :
Presses Universitaires de France, Paris, France
Volume :
Pages :
Peer reviewed :
Peer Reviewed verified by ORBi
European Projects :
H2020 - 641100 - TIMESTORM - Mind and Time: Investigation of the Temporal Traits of Human-Machine Convergence
Name of the research project :
Funders :
CE - Commission Européenne [BE]
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since 09 November 2017


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