Evidence map›Paper›PMID 31409813›Full record

ArticleScientific reports2019

Risk aversion in the adjustment of speed-accuracy tradeoff depending on time constraints.

Ryoji Onagawa, Masahiro Shinya, Keiji Ota, Kazutoshi Kudo

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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  8. The impact of learning opportunities on the development of learning and decision-making: an experiment with passerine birds.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ryoji OnagawaLaboratory of Sports Sciences, Department of Life Sciences, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan. ryoji.onagawa@gmail.com.
Masahiro ShinyaGraduate School of Integrated Arts and Sciences, Hiroshima University, Higashi-Hiroshima, Japan.
Keiji OtaInstitute of Engineering, Tokyo University of Agriculture and Technology, Tokyo, Japan.
Kazutoshi KudoLaboratory of Sports Sciences, Department of Life Sciences, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan. kudo@idaten.c.u-tokyo.ac.jp.ORCID http://orcid.org/0000-0002-3199-9449

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Humans are often required to make decisions under time constraints and to adjust speed-accuracy tradeoff (SAT) based on time constraints. Previous studies have investigated how humans adjust SAT depending on the time discount rate of expected gain. Although the expected gain of actions can be determined by both gain and probability, only situations where gain decreases over time have been tested. Considering the effect of risk on decision-making, the difference in time discount factors may modulate the response strategies for SAT, since temporal changes in variance of possible outcomes differ when gain or probability decreases over time. Here, we investigated the response strategies for SAT under different time discount factors. Participants were required to select one of the two options with different initial values in situations where the expected gain of options declined over time by a linear decrease in gain or probability. Comparison of response strategies between conditions revealed that response times in the gain condition were longer than those in the probability condition, possibly due to risk-aversion. These findings indicate the existence of common rules underpinning sensorimotor and economic decision-making.

Indexed as

Decision MakingModels, TheoreticalAdultAlgorithmsFemaleHumansMaleProbabilityReaction TimeYoung Adult

Identifiers

PMID31409813
PMCPMC6692412

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.