表达式(计算机科学)
心理学
面部表情
可视化快速呈现
面子(社会学概念)
集合(抽象数据类型)
独立性(概率论)
数学
统计
计算机科学
沟通
感知
神经科学
社会科学
社会学
程序设计语言
作者
David Alais,Yiben Xu,Susan G. Wardle,Jessica Taubert
出处
期刊:Journal of Vision
[Association for Research in Vision and Ophthalmology (ARVO)]
日期:2020-10-20
卷期号:20 (11): 1748-1748
被引量:1
标识
DOI:10.1167/jov.20.11.1748
摘要
Recent data from primates suggests illusory faces (face pareidolia) and real faces are processed by common mechanisms. We use a serial dependence approach in human observers to test whether pareidolia and face images cross-prime each other for expression. Forty pareidolia and 40 face images spanning four levels of expression from negative (angry) to positive (happy) were selected from a pre-rated image-set. Presentation time was 250 ms and observers rated expression by clicking on a scalebar. Face condition: 40 faces presented 20 times each in random order. Pareidolia condition: 40 x 20 pareidolia images in random order. Cross-domain condition: 80 images (faces+pareidolia) presented 20 times in randomly interleaved order. Ratings for each face were combined into a mean expression for that face. Mean expression ratings for faces and pareidolia validated the pre-experiment ratings and clustered into 4 evenly spaced expression levels. To test for serial bias, the rating on the previous trial was subtracted from the current-trial’s mean rating. Serial independence would yield no systematic bias, yet both image categories produced a positive serial dependence: current trial ratings were biased towards the preceding trial’s expression rating. This was true for faces and for pareidolia, although the serial dependence was stronger for pareidolia. In the cross-domain condition with randomly interleaved image categories, the serial analysis was run separately for sequences where a face followed pareidolia and where pareidolia followed a face. Both orders of cross-domain sequences produced a significant positive dependence for expression. These results show that face pareidolia can be systematically and reliably rated for expression, comparably to ratings of real faces, and that face or pareidolia image sequences both exhibit a serial dependence for expression. Finally, interleaving both image types produces a clear cross-domain serial dependence and therefore implies common processing of human and illusory faces.
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