心理学
社会学习
焦虑
社交焦虑
认知心理学
任务(项目管理)
人口
社会心理学
计算
发展心理学
人口学
管理
经济
社会学
物理
光学
精神科
教育学
作者
Amrita Lamba,Michael J. Frank,Oriel FeldmanHall
标识
DOI:10.1177/0956797620910993
摘要
Very little is known about how individuals learn under uncertainty when other people are involved. We propose that humans are particularly tuned to social uncertainty, which is especially noisy and ambiguous. Individuals exhibiting less tolerance for uncertainty, such as those with anxiety, may have greater difficulty learning in uncertain social contexts and therefore provide an ideal test population to probe learning dynamics under uncertainty. Using a dynamic trust game and a matched nonsocial task, we found that healthy subjects ( n = 257) were particularly good at learning under negative social uncertainty, swiftly figuring out when to stop investing in an exploitative social partner. In contrast, subjects with anxiety ( n = 97) overinvested in exploitative partners. Computational modeling attributed this pattern to a selective reduction in learning from negative social events and a failure to enhance learning as uncertainty rises—two mechanisms that likely facilitate adaptive social choice.
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