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Conflict Detection in Moderate Base-Rate Tasks: A Multi-Measure Study

Empirical studies have found that although humans often rely on heuristic intuition to make stereotypical judgments during extreme base-rate tasks, they can at least detect conflicts between stereotypical and base-rate responses, which supports the dual-processing view of flawless conflict detection...

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Autores principales: Yang, Jianyong, Hu, Zhujing, Nie, Dandan, Zhu, Debiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10136309/
https://www.ncbi.nlm.nih.gov/pubmed/37102833
http://dx.doi.org/10.3390/bs13040319
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author Yang, Jianyong
Hu, Zhujing
Nie, Dandan
Zhu, Debiao
author_facet Yang, Jianyong
Hu, Zhujing
Nie, Dandan
Zhu, Debiao
author_sort Yang, Jianyong
collection PubMed
description Empirical studies have found that although humans often rely on heuristic intuition to make stereotypical judgments during extreme base-rate tasks, they can at least detect conflicts between stereotypical and base-rate responses, which supports the dual-processing view of flawless conflict detection. The current study combines the conflict detection paradigm with moderate base-rate tasks of different scales to test the generalization and boundaries of flawless conflict detection. After controlling for possible confounding by the “storage failure” factor, the conflict detection results indicated that reasoners providing stereotypical heuristic responses to conflict problems were slower to respond, less confident in their stereotypical responses, and slower to indicate their reduced confidence than reasoners who answered no-conflict problems. Moreover, none of these differences were affected by different scales. The results suggest that stereotypical reasoners are not blind heuristic performers and that they at least realize that their heuristic responses are not entirely warranted, which supports the argument for flawless conflict detection and extends the boundaries of flawless conflict detection. We discuss the implications of these findings for views of detection, human rationality, and the boundaries of conflict detection.
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spelling pubmed-101363092023-04-28 Conflict Detection in Moderate Base-Rate Tasks: A Multi-Measure Study Yang, Jianyong Hu, Zhujing Nie, Dandan Zhu, Debiao Behav Sci (Basel) Article Empirical studies have found that although humans often rely on heuristic intuition to make stereotypical judgments during extreme base-rate tasks, they can at least detect conflicts between stereotypical and base-rate responses, which supports the dual-processing view of flawless conflict detection. The current study combines the conflict detection paradigm with moderate base-rate tasks of different scales to test the generalization and boundaries of flawless conflict detection. After controlling for possible confounding by the “storage failure” factor, the conflict detection results indicated that reasoners providing stereotypical heuristic responses to conflict problems were slower to respond, less confident in their stereotypical responses, and slower to indicate their reduced confidence than reasoners who answered no-conflict problems. Moreover, none of these differences were affected by different scales. The results suggest that stereotypical reasoners are not blind heuristic performers and that they at least realize that their heuristic responses are not entirely warranted, which supports the argument for flawless conflict detection and extends the boundaries of flawless conflict detection. We discuss the implications of these findings for views of detection, human rationality, and the boundaries of conflict detection. MDPI 2023-04-07 /pmc/articles/PMC10136309/ /pubmed/37102833 http://dx.doi.org/10.3390/bs13040319 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yang, Jianyong
Hu, Zhujing
Nie, Dandan
Zhu, Debiao
Conflict Detection in Moderate Base-Rate Tasks: A Multi-Measure Study
title Conflict Detection in Moderate Base-Rate Tasks: A Multi-Measure Study
title_full Conflict Detection in Moderate Base-Rate Tasks: A Multi-Measure Study
title_fullStr Conflict Detection in Moderate Base-Rate Tasks: A Multi-Measure Study
title_full_unstemmed Conflict Detection in Moderate Base-Rate Tasks: A Multi-Measure Study
title_short Conflict Detection in Moderate Base-Rate Tasks: A Multi-Measure Study
title_sort conflict detection in moderate base-rate tasks: a multi-measure study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10136309/
https://www.ncbi.nlm.nih.gov/pubmed/37102833
http://dx.doi.org/10.3390/bs13040319
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