权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Research in the information processing on social cognition

社会认知信息处理研究

基本信息

批准号：
01450021
负责人：
SUENAGA Toshiro
金额：
$ 4.54万
依托单位：
Teikyo University
依托单位国家：
日本
项目类别：
Grant-in-Aid for General Scientific Research (B)
财政年份：
1989
资助国家：
日本
起止时间：
1989 至 1991
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-01450021/
关键词：
social cognition information processing perfom perception person memory face recognition self

项目摘要

Person perception, person memory, and face recognition are important modules of social cognition. The purpose of this study is to examine the relations of these modules and to built a new theoretical model of social cognition as a framework for the information processing of self-knowledge.On face recognition, we tried to identify quantitative factors of visual information to categorize facial expressions. We could clarify the features of facial expressions. We also examined the typicality effect appearing in cognitive processing time. We discussed the information processing on face recognition.On person memory, we examined self-referent effect by use of the self-generation paradigm. As a result, we found that selfreferent effect was explained from a network theory of memory. We also found that affects influenced self-referent effect. Incidental free and cued recali tests of persons' name which had positive affect, showed stronger self-generation effect than those of persons' name which had negative affects. Organizational aspect of the memory was explained in terms of the degree of the connection of nodes in the network.On self-knowledge, we investigated the representation of self from the view of the multifaced self. As a result, we found that persons perceived themselves to have more attributes compared to others. We also theoretically discussed the influence of motivational aspects of self, in relation to affect, on selfknowledge.We discussed the validity of the network model to explain above-mentioned results.

人的感知、人的记忆和人脸识别是社会认知的重要模块。本研究的目的是考察这些模块之间的关系，并构建一个新的社会认知理论模型作为自我知识信息加工的框架。在人脸识别方面，我们试图识别视觉信息的量化因素来对面部表情进行分类。我们可以弄清楚面部表情的特征。我们还考察了认知加工时间中出现的典型性效应。我们讨论了面孔识别的信息加工，在人的记忆上，我们使用自我生成范式检验了自我参照效应。结果发现，自相关效应可以用记忆的网络理论来解释。我们还发现，影响因素会影响自我指涉效应。对具有正向情感的人名的附带自由和线索再认测验比具有负向情感的人名具有更强的自我生成效应。在自我知识方面，我们从多面自我的角度考察了自我的表征。结果，我们发现，人们认为自己比其他人有更多的属性。我们还从理论上探讨了与情感相关的自我动机因素对自我知识的影响，并讨论了网络模型对上述结果的解释。