缩小自我报告与行为实验室测量之间的差距:反强化学习的实时驾驶任务

IF 4.8 1区 心理学 Q1 PSYCHOLOGY, MULTIDISCIPLINARY
Psychological Science Pub Date : 2024-04-01 Epub Date: 2024-02-26 DOI:10.1177/09567976241228503
Sang Ho Lee, Myeong Seop Song, Min-Hwan Oh, Woo-Young Ahn
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引用次数: 0

摘要

在评估冲动性等心理结构时,一个主要挑战是自我报告和行为任务测量之间的相关性很弱,而这些测量本应评估同一结构。为了解决这个问题,我们开发了一种名为 "高速公路任务 "的实时驾驶任务,在这项任务中,参与者经常会表现出冲动行为,这与自我报告问卷中捕捉到的现实生活中的冲动特征如出一辙。在这里,我们展示了自我报告的冲动性测量结果与高速公路任务中的表现高度相关,但与传统行为任务中的冲动性测量结果并不相关(47 名 18-33 岁的成年人)。通过将深度神经网络与反强化学习(IRL)算法相结合,我们推断出了高速公路任务中主观奖励的动态变化。结果表明,冲动型参与者会将高主观奖励归因于不合理或有风险的情况。总之,我们的研究结果表明,使用实时任务结合 IRL 可以帮助调和自我报告和行为任务测量心理结构之间的差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bridging the Gap Between Self-Report and Behavioral Laboratory Measures: A Real-Time Driving Task With Inverse Reinforcement Learning.

A major challenge in assessing psychological constructs such as impulsivity is the weak correlation between self-report and behavioral task measures that are supposed to assess the same construct. To address this issue, we developed a real-time driving task called the "highway task," in which participants often exhibit impulsive behaviors mirroring real-life impulsive traits captured by self-report questionnaires. Here, we show that a self-report measure of impulsivity is highly correlated with performance in the highway task but not with traditional behavioral task measures of impulsivity (47 adults aged 18-33 years). By integrating deep neural networks with an inverse reinforcement learning (IRL) algorithm, we inferred dynamic changes of subjective rewards during the highway task. The results indicated that impulsive participants attribute high subjective rewards to irrational or risky situations. Overall, our results suggest that using real-time tasks combined with IRL can help reconcile the discrepancy between self-report and behavioral task measures of psychological constructs.

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来源期刊
Psychological Science
Psychological Science PSYCHOLOGY, MULTIDISCIPLINARY-
CiteScore
13.30
自引率
0.00%
发文量
156
期刊介绍: Psychological Science, the flagship journal of The Association for Psychological Science (previously the American Psychological Society), is a leading publication in the field with a citation ranking/impact factor among the top ten worldwide. It publishes authoritative articles covering various domains of psychological science, including brain and behavior, clinical science, cognition, learning and memory, social psychology, and developmental psychology. In addition to full-length articles, the journal features summaries of new research developments and discussions on psychological issues in government and public affairs. "Psychological Science" is published twelve times annually.
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