Confidence predicts speed-accuracy tradeoff for subsequent decisions

Kobe Desender; Annika Boldt; Tom Verguts; Tobias H Donner

doi:10.7554/eLife.43499

Confidence predicts speed-accuracy tradeoff for subsequent decisions

Standard

Confidence predicts speed-accuracy tradeoff for subsequent decisions. / Desender, Kobe; Boldt, Annika; Verguts, Tom; Donner, Tobias H.

in: ELIFE, Jahrgang 8, 20.08.2019.

Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung

Harvard

Desender, K, Boldt, A, Verguts, T & Donner, TH 2019, 'Confidence predicts speed-accuracy tradeoff for subsequent decisions', ELIFE, Jg. 8. https://doi.org/10.7554/eLife.43499

APA

Desender, K., Boldt, A., Verguts, T., & Donner, T. H. (2019). Confidence predicts speed-accuracy tradeoff for subsequent decisions. ELIFE, 8. https://doi.org/10.7554/eLife.43499

Vancouver

Desender K, Boldt A, Verguts T, Donner TH. Confidence predicts speed-accuracy tradeoff for subsequent decisions. ELIFE. 2019 Aug 20;8. https://doi.org/10.7554/eLife.43499

Bibtex

@article{e447b27144164a1d99c38b27bc3d17de,

title = "Confidence predicts speed-accuracy tradeoff for subsequent decisions",

abstract = "When external feedback about decision outcomes is lacking, agents need to adapt their decision policies based on an internal estimate of the correctness of their choices (i.e., decision confidence). We hypothesized that agents use confidence to continuously update the tradeoff between the speed and accuracy of their decisions: When confidence is low in one decision, the agent needs more evidence before committing to a choice in the next decision, leading to slower but more accurate decisions. We tested this hypothesis by fitting a bounded accumulation decision model to behavioral data from three different perceptual choice tasks. Decision bounds indeed depended on the reported confidence on the previous trial, independent of objective accuracy. This increase in decision bound was predicted by a centro-parietal EEG component sensitive to confidence. We conclude that internally computed neural signals of confidence predict the ongoing adjustment of decision policies.",

keywords = "Adolescent, Adult, Behavior, Decision Making, Female, Humans, Male, Models, Neurological, Self Concept, Time, Young Adult",

author = "Kobe Desender and Annika Boldt and Tom Verguts and Donner, {Tobias H}",

note = "{\textcopyright} 2019, Desender et al.",

year = "2019",

month = aug,

day = "20",

doi = "10.7554/eLife.43499",

language = "English",

volume = "8",

journal = "ELIFE",

issn = "2050-084X",

publisher = "eLife Sciences Publications",

}

RIS

TY - JOUR

T1 - Confidence predicts speed-accuracy tradeoff for subsequent decisions

AU - Desender, Kobe

AU - Boldt, Annika

AU - Verguts, Tom

AU - Donner, Tobias H

PY - 2019/8/20

Y1 - 2019/8/20

N2 - When external feedback about decision outcomes is lacking, agents need to adapt their decision policies based on an internal estimate of the correctness of their choices (i.e., decision confidence). We hypothesized that agents use confidence to continuously update the tradeoff between the speed and accuracy of their decisions: When confidence is low in one decision, the agent needs more evidence before committing to a choice in the next decision, leading to slower but more accurate decisions. We tested this hypothesis by fitting a bounded accumulation decision model to behavioral data from three different perceptual choice tasks. Decision bounds indeed depended on the reported confidence on the previous trial, independent of objective accuracy. This increase in decision bound was predicted by a centro-parietal EEG component sensitive to confidence. We conclude that internally computed neural signals of confidence predict the ongoing adjustment of decision policies.

AB - When external feedback about decision outcomes is lacking, agents need to adapt their decision policies based on an internal estimate of the correctness of their choices (i.e., decision confidence). We hypothesized that agents use confidence to continuously update the tradeoff between the speed and accuracy of their decisions: When confidence is low in one decision, the agent needs more evidence before committing to a choice in the next decision, leading to slower but more accurate decisions. We tested this hypothesis by fitting a bounded accumulation decision model to behavioral data from three different perceptual choice tasks. Decision bounds indeed depended on the reported confidence on the previous trial, independent of objective accuracy. This increase in decision bound was predicted by a centro-parietal EEG component sensitive to confidence. We conclude that internally computed neural signals of confidence predict the ongoing adjustment of decision policies.

KW - Adolescent

KW - Adult

KW - Behavior

KW - Decision Making

KW - Female

KW - Humans

KW - Male

KW - Models, Neurological

KW - Self Concept

KW - Time

KW - Young Adult

U2 - 10.7554/eLife.43499

DO - 10.7554/eLife.43499

M3 - SCORING: Journal article

C2 - 31429827

VL - 8

JO - ELIFE

JF - ELIFE

SN - 2050-084X

ER -