Factors contributing to individual differences in facial expression categorisation
Factors contributing to individual differences in facial expression categorisation
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DOI：
10.1080/02699931.2016.1273200
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发表时间：
2018-01-01
影响因子：
2.6
通讯作者：
Guo, Kun
中科院分区：
文献类型：
--
作者：
Green, Corinne;Guo, Kun
在对面部表情进行分类时，个体的感知准确性各不相同，但目前尚不清楚非临床人群中的这些个体差异与面部信息获取和解释的认知处理阶段之间的关系。我们测试了104名健康成年人的面部表情分类任务，并将其分类准确性与面部注视分配和自闭症商数，焦虑量表和自我监控量表评估的个人特质相关联。凝视分配对表情分类的影响有限，但具有情感特异性。具体来说，眼睛和鼻子部位的凝视时间更长，分别与厌恶和悲伤表情的更准确分类相结合。关于特质测量，较高的自闭症评分与更好地识别悲伤，但更差的识别愤怒的表情，并有助于分类偏向悲伤的表情，而较高的焦虑水平与更大的分类准确性在所有的表情和增加的趋势，凝视在鼻子区域。似乎焦虑和自闭症样特征都与表情分类的个体差异相关，但这种关联不一定是由表情特异性局部面部区域的凝视分配变化介导的。结果表明，面部信息的获取和解释能力有助于非临床人群中的表达分类的个体差异。
Individuals vary in perceptual accuracy when categorising facial expressions, yet it is unclear how these individual differences in non-clinical population are related to cognitive processing stages at facial information acquisition and interpretation. We tested 104 healthy adults in a facial expression categorisation task, and correlated their categorisation accuracy with face-viewing gaze allocation and personal traits assessed with Autism Quotient, anxiety inventory and Self-Monitoring Scale. The gaze allocation had limited but emotion-specific impact on categorising expressions. Specifically, longer gaze at the eyes and nose regions were coupled with more accurate categorisation of disgust and sad expressions, respectively. Regarding trait measurements, higher autistic score was coupled with better recognition of sad but worse recognition of anger expressions, and contributed to categorisation bias towards sad expressions; whereas higher anxiety level was associated with greater categorisation accuracy across all expressions and with increased tendency of gazing at the nose region. It seems that both anxiety and autistic-like traits were associated with individual variation in expression categorisation, but this association is not necessarily mediated by variation in gaze allocation at expression-specific local facial regions. The results suggest that both facial information acquisition and interpretation capabilities contribute to individual differences in expression categorisation within non-clinical populations.