Visual attention to own‐ versus other‐race faces: Perspectives from learning mechanisms and task demands

Author:

Hsiao Janet H.123ORCID,Chan Antoni B.4ORCID

Affiliation:

1. Department of Psychology University of Hong Kong Hong Kong China

2. Institute of Data Science University of Hong Kong Hong Kong China

3. The State Key Laboratory of Brain and Cognitive Sciences University of Hong Kong Hong Kong China

4. Department of Computer Science City University of Hong Kong Hong Kong China

Abstract

AbstractMultiple factors have been proposed to contribute to the other‐race effect in face recognition, including perceptual expertise and social‐cognitive accounts. Here, we propose to understand the effect and its contributing factors from the perspectives of learning mechanisms that involve joint learning of visual attention strategies and internal representations for faces, which can be modulated by quality of contact with other‐race individuals including emotional and motivational factors. Computational simulations of this process will enhance our understanding of interactions among factors and help resolve inconsistent results in the literature. In particular, since learning is driven by task demands, visual attention effects observed in different face‐processing tasks, such as passive viewing or recognition, are likely to be task specific (although may be associated) and should be examined and compared separately. When examining visual attention strategies, the use of more data‐driven and comprehensive eye movement measures, taking both spatial–temporal pattern and consistency of eye movements into account, can lead to novel discoveries in other‐race face processing. The proposed framework and analysis methods may be applied to other tasks of real‐life significance such as face emotion recognition, further enhancing our understanding of the relationship between learning and visual cognition.

Publisher

Wiley

Subject

General Psychology

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3