Predictive processing in biological motion perception: Evidence from human behavior

生物运动 感知 心理学 认知心理学 提示语 动作(物理) 刺激(心理学) 运动(物理) 背景(考古学) 运动知觉 社会心理学 计算机科学 神经科学 人工智能 量子力学 生物 物理 古生物学
作者
Hüseyin O. Elmas,Sena Er,Ada D. Rezaki,Ayşesu İzgi,Buse Merve Ürgen,Hüseyin Boyacı,Burcu A. Ürgen
出处
期刊:Perception [SAGE Publishing]
标识
DOI:10.1177/03010066251355391
摘要

Biological motion perception plays a crucial role in understanding the actions of other animals, facilitating effective social interactions. Although traditionally viewed as a bottom-up driven process, recent research suggests that top-down mechanisms, including attention and expectation, significantly influence biological motion perception at all levels, particularly highlighted under complex or ambiguous conditions. In this study, we investigated the effect of expectation on biological motion perception using a cued individuation task with point-light display (PLD) stimuli. We conducted three experiments investigating how prior information regarding action, emotion, and gender of PLD stimuli modulates perceptual processing. We observed a statistically significant congruency effect when preceding cues informed about action of the upcoming biological motion stimulus; participants performed slower in incongruent trials compared to congruent trials. This effect seems to be mainly driven from the 75% congruency condition compared to the non-informative 50% (chance level) validity condition. The congruency effect that was observed in the action experiment was absent in the emotion and gender experiments. These findings highlight the nuanced role of prior information in biological motion perception, particularly emphasizing that action-related cues, when moderately reliable, can influence biological motion perception. Our results are in line with the predictive processing framework, suggesting that the integration of top-down and bottom-up processes is context-dependent and influenced by the nature of prior information. Our results also emphasize the need to develop more comprehensive frameworks that incorporate naturalistic, complex and dynamic, stimuli to build better models of biological motion perception.
最长约 10秒,即可获得该文献文件

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
Xieyusen发布了新的文献求助10
刚刚
橘生饼完成签到,获得积分10
3秒前
kiwi发布了新的文献求助10
3秒前
思源应助结实吐司采纳,获得10
3秒前
zb2009gy发布了新的文献求助10
3秒前
baobaoxiong完成签到,获得积分10
4秒前
顾矜应助swordlee采纳,获得10
4秒前
lww完成签到,获得积分20
5秒前
5秒前
yiqingLin发布了新的文献求助10
5秒前
6秒前
孙星发布了新的文献求助10
6秒前
wxyalan应助紫熊采纳,获得10
6秒前
7秒前
7秒前
9秒前
酷波er应助chenmeimei2012采纳,获得10
9秒前
10秒前
复杂的雨寒完成签到,获得积分10
10秒前
11秒前
在水一方应助温柔觅云采纳,获得10
12秒前
12秒前
水自无言完成签到,获得积分10
13秒前
华仔应助王栋可采纳,获得10
13秒前
13秒前
CipherSage应助宥沐采纳,获得10
14秒前
14秒前
情怀应助libaomi采纳,获得30
15秒前
15秒前
123发布了新的文献求助10
16秒前
CipherSage应助贾硕士采纳,获得10
17秒前
17秒前
衷医课代表完成签到,获得积分10
17秒前
67完成签到,获得积分10
18秒前
林间月完成签到,获得积分10
19秒前
糟糕的语蝶完成签到,获得积分10
20秒前
chiweiyoung发布了新的文献求助10
20秒前
21秒前
www发布了新的文献求助10
21秒前
bzdqgs发布了新的文献求助10
21秒前
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
Geist der Kunst und Kultur 1000
Resistance Spot Welding Dataset for Automobile Body-in-White Quality Analysis 748
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Machine Learning for Asset Management and Pricing 600
Numerical analysis of the coupled atmosphere-ocean models (CAO II). II 600
Models for the coupled atmosphere and ocean 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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7406818
求助须知:如何正确求助?哪些是违规求助? 9011312
关于积分的说明 19191493
捐赠科研通 7040011
什么是DOI,文献DOI怎么找? 3232384
关于科研通互助平台的介绍 2394473
邀请新用户注册赠送积分活动 2214572