均方预测误差
心理学
杠杆(统计)
认知心理学
计算机科学
社会心理学
人工智能
机器学习
作者
Joseph Heffner,Jae-Young Son,Oriel FeldmanHall
标识
DOI:10.1038/s41562-021-01213-6
摘要
People make decisions based on deviations from expected outcomes, known as prediction errors. Past work has focused on reward prediction errors, largely ignoring violations of expected emotional experiences-emotion prediction errors. We leverage a method to measure real-time fluctuations in emotion as people decide to punish or forgive others. Across four studies (N = 1,016), we reveal that emotion and reward prediction errors have distinguishable contributions to choice, such that emotion prediction errors exert the strongest impact during decision-making. We additionally find that a choice to punish or forgive can be decoded in less than a second from an evolving emotional response, suggesting that emotions swiftly influence choice. Finally, individuals reporting significant levels of depression exhibit selective impairments in using emotion-but not reward-prediction errors. Evidence for emotion prediction errors potently guiding social behaviours challenge standard decision-making models that have focused solely on reward.
科研通智能强力驱动
Strongly Powered by AbleSci AI