Evidence map›Paper›PMID 41982529›Full record

ArticleFrontiers in neuroscience2026

Cognitive decision-making strategies in a haptic angle sorting task: a behavioral experimental study.

Yulong Liu, Yali Xiang, Huazhi Li, Mengni Zhou, Qingqing Li, Hongtao Yu, Yoshimichi Ejima, Takahashi Satoshi, Jiajia Yang, Jinglong Wu

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

10 authors.

Yulong Liu *Key Laboratory of Intelligent Monitoring on Navigation Safety, Hunan University of Information Technology, Changsha, China.
Yali Xiang *Key Laboratory of Intelligent Monitoring on Navigation Safety, Hunan University of Information Technology, Changsha, China.
Huazhi LiLiaoning Normal University, Dalian, Liaoning, China.
Mengni ZhouCollege of Software, Taiyuan University of Technology, Taiyuan, China.
Qingqing LiSchool of Education, Wenzhou University, Wenzhou, China.
Hongtao YuLiaoning Normal University, Dalian, Liaoning, China.
Yoshimichi EjimaCognitive Neuroscience Lab, Graduate School of Interdisciplinary Science and Engineering in Health Systems Okayama University, Okayama, Japan.
Takahashi SatoshiCognitive Neuroscience Lab, Graduate School of Interdisciplinary Science and Engineering in Health Systems Okayama University, Okayama, Japan.
Jiajia YangCognitive Neuroscience Lab, Graduate School of Interdisciplinary Science and Engineering in Health Systems Okayama University, Okayama, Japan.
Jinglong WuCognitive Neuroscience Lab, Graduate School of Interdisciplinary Science and Engineering in Health Systems Okayama University, Okayama, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Haptic angle discrimination is an important paradigm for studying human perceptual decision-making. Traditional research has mostly focused on the measurement of perceptual sensitivity (such as thresholds), while neglecting the crucial role of cognitive strategies during task execution. This study aims to explore how different cognitive decision-making strategies affect behavioral performance (discrimination accuracy and decision-making efficiency) in the task of sorting from the tactile perspective. We recruited 18 healthy subjects and asked them to complete the same Angle ranking task using two strategies respectively: (1) the "successive minimum Angle" strategy stipulated in the experiment; (2) the optimal strategy chosen by the subjects themselves. We fitted the perceived uncertainty parameter (

Indexed as

angle discriminationcognitive flexibilitydecision-making strategyefficiency-precision trade-offhaptic perceptionsorting tasks

Identifiers

PMID41982529
PMCPMC13071060

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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.