清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

Expression in human and illusory faces (pareidolia) shows cross-domain serial dependence: evidence for common processing

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]
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.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Overlap完成签到 ,获得积分10
7秒前
害羞的雁易完成签到 ,获得积分10
8秒前
暖暖的禾日完成签到,获得积分10
9秒前
Enyiqi001完成签到 ,获得积分10
13秒前
Wucaihong完成签到 ,获得积分10
22秒前
38秒前
科研通AI6.1应助张惠采纳,获得10
42秒前
xiaowangwang完成签到 ,获得积分10
48秒前
张惠完成签到,获得积分10
50秒前
51秒前
研友_8WMgOn完成签到 ,获得积分10
56秒前
doclarrin完成签到 ,获得积分0
57秒前
58秒前
浚稚完成签到 ,获得积分10
1分钟前
张惠发布了新的文献求助10
1分钟前
Setlla完成签到 ,获得积分10
1分钟前
boymin2015完成签到 ,获得积分10
1分钟前
1分钟前
超越俗尘完成签到,获得积分10
1分钟前
Su完成签到 ,获得积分10
1分钟前
凶狠的土豆丝完成签到 ,获得积分10
1分钟前
安心完成签到 ,获得积分10
2分钟前
研友_5Zl4VZ完成签到,获得积分10
2分钟前
cici091255完成签到,获得积分10
2分钟前
小鱼女侠完成签到 ,获得积分0
2分钟前
purerr完成签到 ,获得积分10
2分钟前
芳菲落尽梨花白完成签到 ,获得积分10
2分钟前
2分钟前
隐形荟完成签到 ,获得积分10
2分钟前
一个爱打乒乓球的彪完成签到 ,获得积分10
2分钟前
苏亚婷完成签到,获得积分10
2分钟前
3分钟前
自然亦凝完成签到,获得积分10
3分钟前
ChatGPT完成签到,获得积分10
3分钟前
可可完成签到,获得积分10
3分钟前
斯文败类应助ganjuganju采纳,获得10
3分钟前
cjg完成签到,获得积分10
3分钟前
笨笨的寒烟完成签到,获得积分10
3分钟前
WL完成签到 ,获得积分10
3分钟前
3分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Developing Genetic Editing Tools for Lysobacter 2000
Моделирование процессов самоорганизации в кристаллообразующих системах 1000
History of U.S. Space Surveillance and Satellite Cataloging 1000
Adhesion Science: Principles & Practice 800
Signals, Systems, and Signal Processing 610
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6523197
求助须知:如何正确求助?哪些是违规求助? 8316260
关于积分的说明 17793690
捐赠科研通 5625216
什么是DOI,文献DOI怎么找? 2928172
邀请新用户注册赠送积分活动 1904854
关于科研通互助平台的介绍 1765038