可视化特殊印象的生成模型

IF 3.2 2区 心理学 Q1 PSYCHOLOGY, MULTIDISCIPLINARY
Alexander Todorov, Stefan Uddenberg, Daniel Albohn
{"title":"可视化特殊印象的生成模型","authors":"Alexander Todorov,&nbsp;Stefan Uddenberg,&nbsp;Daniel Albohn","doi":"10.1111/bjop.12622","DOIUrl":null,"url":null,"abstract":"<p>In their comprehensive review of research on impressions from faces, Sutherland and Young (this issue) highlight both the remarkable progress and the many challenges facing the field. We focus on two of the challenges: the need for generative, powerful models of impressions and the idiosyncratic nature of complex impressions.</p>","PeriodicalId":9300,"journal":{"name":"British journal of psychology","volume":"114 2","pages":"511-514"},"PeriodicalIF":3.2000,"publicationDate":"2022-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Generative models for visualizing idiosyncratic impressions\",\"authors\":\"Alexander Todorov,&nbsp;Stefan Uddenberg,&nbsp;Daniel Albohn\",\"doi\":\"10.1111/bjop.12622\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>In their comprehensive review of research on impressions from faces, Sutherland and Young (this issue) highlight both the remarkable progress and the many challenges facing the field. We focus on two of the challenges: the need for generative, powerful models of impressions and the idiosyncratic nature of complex impressions.</p>\",\"PeriodicalId\":9300,\"journal\":{\"name\":\"British journal of psychology\",\"volume\":\"114 2\",\"pages\":\"511-514\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2022-12-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"British journal of psychology\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/bjop.12622\",\"RegionNum\":2,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHOLOGY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"British journal of psychology","FirstCategoryId":"102","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/bjop.12622","RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 1

摘要

在他们对面部印象研究的全面回顾中,Sutherland和Young(本期)强调了该领域的显著进步和面临的许多挑战。我们专注于两个挑战:对生成的、强大的印象模型的需求和复杂印象的特质。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Generative models for visualizing idiosyncratic impressions

In their comprehensive review of research on impressions from faces, Sutherland and Young (this issue) highlight both the remarkable progress and the many challenges facing the field. We focus on two of the challenges: the need for generative, powerful models of impressions and the idiosyncratic nature of complex impressions.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
British journal of psychology
British journal of psychology PSYCHOLOGY, MULTIDISCIPLINARY-
CiteScore
7.60
自引率
2.50%
发文量
67
期刊介绍: The British Journal of Psychology publishes original research on all aspects of general psychology including cognition; health and clinical psychology; developmental, social and occupational psychology. For information on specific requirements, please view Notes for Contributors. We attract a large number of international submissions each year which make major contributions across the range of psychology.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信