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社会反馈对爱荷华赌博任务中奖励学习的影响。

The influence of social feedback on reward learning in the Iowa gambling task.

作者信息

Peng Ming, Duan Qiaochu, Yang Xiaoying, Tang Rui, Zhang Lei, Zhang Hanshu, Li Xu

机构信息

Key Laboratory of Adolescent Cyberpsychology and Behavior (CCNU), Ministry of Education, Wuhan, China.

School of Psychology, Central China Normal University, Wuhan, China.

出版信息

Front Psychol. 2024 May 2;15:1292808. doi: 10.3389/fpsyg.2024.1292808. eCollection 2024.

Abstract

Learning, an important activity for both human and animals, has long been a focal point of research. During the learning process, subjects assimilate not only their own information but also information from others, a phenomenon known as social learning. While numerous studies have explored the impact of social feedback as a reward/punishment during learning, few studies have investigated whether social feedback facilitates or inhibits the learning of environmental rewards/punishments. This study aims to test the effects of social feedback on economic feedback and its cognitive processes by using the Iowa Gambling Task (IGT). One hundred ninety-two participants were recruited and categorized into one non-social feedback group and four social feedback groups. Participants in the social feedback groups were informed that after the outcome of each choice, they would also receive feedback from an online peer. This peer was a fictitious entity, with variations in identity (novice or expert) and feedback type (random or effective). The Outcome-Representation Learning model (ORL model) was used to quantify the cognitive components of learning. Behavioral results showed that both the identity of the peer and the type of feedback provided significantly influenced the deck selection, with effective social feedback increasing the ratio of chosen good decks. Results in the ORL model showed that the four social feedback groups exhibited lower learning rates for gain and loss compared to the nonsocial feedback group, which suggested, in the social feedback groups, the impact of the recent outcome on the update of value decreased. Parameters such as forgetfulness, win frequency, and deck perseverance in the expert-effective feedback group were significantly higher than those in the non-social feedback and expert-random feedback groups. These findings suggest that individuals proactively evaluate feedback providers and selectively adopt effective feedback to enhance learning.

摘要

学习,作为人类和动物都很重要的活动,长期以来一直是研究的焦点。在学习过程中,主体不仅吸收自身的信息,还吸收来自他人的信息,这种现象被称为社会学习。虽然众多研究探讨了社会反馈作为学习过程中的奖励/惩罚的影响,但很少有研究调查社会反馈是促进还是抑制对环境奖励/惩罚的学习。本研究旨在通过使用爱荷华赌博任务(IGT)来测试社会反馈对经济反馈及其认知过程的影响。招募了192名参与者,并将其分为一个非社会反馈组和四个社会反馈组。社会反馈组的参与者被告知,在每次选择的结果之后,他们还将收到来自在线同伴的反馈。这个同伴是一个虚构的实体,在身份(新手或专家)和反馈类型(随机或有效)上有所不同。结果表征学习模型(ORL模型)被用来量化学习的认知成分。行为结果表明,同伴的身份和提供的反馈类型都显著影响牌组选择,有效的社会反馈增加了选择好牌组的比例。ORL模型的结果表明,与非社会反馈组相比,四个社会反馈组在收益和损失方面的学习率较低,这表明在社会反馈组中,近期结果对价值更新的影响降低。专家有效反馈组中的遗忘、获胜频率和牌组坚持性等参数显著高于非社会反馈组和专家随机反馈组。这些发现表明,个体主动评估反馈提供者并选择性地采用有效反馈以增强学习。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d30/11098015/bec80557fc76/fpsyg-15-1292808-g001.jpg

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