心理学
心理信息
社交焦虑
感觉
焦虑
社会比较理论
对比度(视觉)
发展心理学
社会心理学
认知心理学
梅德林
精神科
计算机科学
法学
政治学
人工智能
作者
Leonie Koban,Rebecca L. Schneider,Yoni K. Ashar,Jessica R. Andrews‐Hanna,Lauren N. Landy,David A. Moscovitch,Tor D. Wager,Joanna J. Arch
出处
期刊:Emotion
[American Psychological Association]
日期:2017-03-30
卷期号:17 (8): 1144-1155
被引量:107
摘要
People learn about their self from social information, and recent work suggests that healthy adults show a positive bias for learning self-related information. In contrast, social anxiety disorder (SAD) is characterized by a negative view of the self, yet what causes and maintains this negative self-view is not well understood. Here the authors use a novel experimental paradigm and computational model to test the hypothesis that biased social learning regarding self-evaluation and self-feelings represents a core feature that distinguishes adults with SAD from healthy controls. Twenty-one adults with SAD and 35 healthy controls (HCs) performed a speech in front of 3 judges. They subsequently evaluated themselves and received performance feedback from the judges and then rated how they felt about themselves and the judges. Affective updating (i.e., change in feelings about the self over time, in response to feedback from the judges) was modeled using an adapted Rescorla-Wagner learning model. HCs demonstrated a positivity bias in affective updating, which was absent in SAD. Further, self-performance ratings revealed group differences in learning from positive feedback-a difference that endured at an average of 1 year follow up. These findings demonstrate the presence and long-term endurance of positively biased social learning about the self among healthy adults, a bias that is absent or reversed among socially anxious adults. (PsycINFO Database Record
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