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“电影中的读心术”任务:自闭症谱系障碍患者与非患者的复杂情绪识别

The "reading the mind in films" task: complex emotion recognition in adults with and without autism spectrum conditions.

作者信息

Golan Ofer, Baron-Cohen Simon, Hill Jacqueline J, Golan Yael

机构信息

Autism Research Centre, Psychiatry Dept, Cambridge University, UK.

出版信息

Soc Neurosci. 2006;1(2):111-23. doi: 10.1080/17470910600980986.

DOI:10.1080/17470910600980986
PMID:18633780
Abstract

BACKGROUND

Individuals with autism spectrum conditions (ASC) have difficulties recognizing mental states in others. Most research has focused on recognition of basic emotions from faces and voices separately. This study reports the results of a new task, assessing recognition of complex emotions and mental states from social scenes taken from feature films. The film format arguably is more challenging and ecologically closer to real social situations.

SAMPLE AND METHOD

A group of adults with ASC (n=22) were compared to a group of matched controls from the general population (n=22). Participants were tested individually.

RESULTS

Overall, individuals with ASC performed significantly lower than controls. There was a positive correlation between verbal IQ and task scores. Using task scores, more than 90% of the participants were correctly allocated to their group. Item analysis showed that the errors individuals with ASC make when judging socioemotional information are subtle.

CONCLUSIONS

This new test of complex emotion and mental state recognition reveals that adults with ASC have residual difficulties in this aspect of empathy. The use of language-based compensatory strategies for emotion recognition is discussed.

摘要

背景

患有自闭症谱系障碍(ASC)的个体在识别他人心理状态方面存在困难。大多数研究分别聚焦于从面部和声音识别基本情绪。本研究报告了一项新任务的结果,该任务评估从故事片中截取的社交场景中复杂情绪和心理状态的识别。电影形式可以说更具挑战性,并且在生态上更接近真实的社交情境。

样本与方法

将一组患有ASC的成年人(n = 22)与一组来自普通人群的匹配对照组(n = 22)进行比较。参与者单独接受测试。

结果

总体而言,患有ASC的个体表现显著低于对照组。言语智商与任务分数之间存在正相关。使用任务分数,超过90%的参与者被正确归入其所属组。项目分析表明,患有ASC的个体在判断社会情感信息时所犯的错误很细微。

结论

这项新的复杂情绪和心理状态识别测试表明,患有ASC的成年人在共情的这一方面仍存在困难。讨论了使用基于语言的补偿策略进行情绪识别。

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