面部特征处理在现实和卡通渲染的人物特征刻画

IF 1.9 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING ACM Transactions on Applied Perception Pub Date : 2021-10-31 DOI:10.1145/3486579
Ylva Ferstl, Michael McKay, R. Mcdonnell
{"title":"面部特征处理在现实和卡通渲染的人物特征刻画","authors":"Ylva Ferstl, Michael McKay, R. Mcdonnell","doi":"10.1145/3486579","DOIUrl":null,"url":null,"abstract":"Previous perceptual studies on human faces have shown that specific facial features have consistent effects on perceived personality and appeal, but it remains unclear if and how findings relate to perception of virtual characters. For example, wider human faces have been found to appear more aggressive and dominant, whereas studies on virtual characters have shown opposite trends but have suffered from significant eeriness of exaggerated features. In this study, we use highly realistic virtual faces obtained from 3D scanning, as well as cartoon-rendered counterparts retaining facial proportions. We assess the effects of facial width and eye size on perceptions of appeal, trustworthiness, aggressiveness, dominance, and eeriness. Our manipulations did not affect eeriness, and we find the same perceptual trends previously reported for human faces.","PeriodicalId":50921,"journal":{"name":"ACM Transactions on Applied Perception","volume":null,"pages":null},"PeriodicalIF":1.9000,"publicationDate":"2021-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Facial Feature Manipulation for Trait Portrayal in Realistic and Cartoon-Rendered Characters\",\"authors\":\"Ylva Ferstl, Michael McKay, R. Mcdonnell\",\"doi\":\"10.1145/3486579\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Previous perceptual studies on human faces have shown that specific facial features have consistent effects on perceived personality and appeal, but it remains unclear if and how findings relate to perception of virtual characters. For example, wider human faces have been found to appear more aggressive and dominant, whereas studies on virtual characters have shown opposite trends but have suffered from significant eeriness of exaggerated features. In this study, we use highly realistic virtual faces obtained from 3D scanning, as well as cartoon-rendered counterparts retaining facial proportions. We assess the effects of facial width and eye size on perceptions of appeal, trustworthiness, aggressiveness, dominance, and eeriness. Our manipulations did not affect eeriness, and we find the same perceptual trends previously reported for human faces.\",\"PeriodicalId\":50921,\"journal\":{\"name\":\"ACM Transactions on Applied Perception\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2021-10-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM Transactions on Applied Perception\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1145/3486579\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, SOFTWARE ENGINEERING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Transactions on Applied Perception","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1145/3486579","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 5

摘要

先前对人脸的感知研究表明,特定的面部特征对感知个性和吸引力有一致的影响,但尚不清楚这些发现是否以及如何与虚拟角色的感知相关。例如,人们发现宽脸的人看起来更有攻击性和支配力,而对虚拟角色的研究显示出相反的趋势,但夸张的特征却让人感到非常怪异。在这项研究中,我们使用了从3D扫描中获得的高度逼真的虚拟面孔,以及保留面部比例的卡通渲染对应。我们评估了面部宽度和眼睛大小对吸引力、可信度、攻击性、支配性和怪异感的影响。我们的操作并没有影响怪异感,我们发现了与之前报道的人脸相同的感知趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Facial Feature Manipulation for Trait Portrayal in Realistic and Cartoon-Rendered Characters
Previous perceptual studies on human faces have shown that specific facial features have consistent effects on perceived personality and appeal, but it remains unclear if and how findings relate to perception of virtual characters. For example, wider human faces have been found to appear more aggressive and dominant, whereas studies on virtual characters have shown opposite trends but have suffered from significant eeriness of exaggerated features. In this study, we use highly realistic virtual faces obtained from 3D scanning, as well as cartoon-rendered counterparts retaining facial proportions. We assess the effects of facial width and eye size on perceptions of appeal, trustworthiness, aggressiveness, dominance, and eeriness. Our manipulations did not affect eeriness, and we find the same perceptual trends previously reported for human faces.
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
ACM Transactions on Applied Perception
ACM Transactions on Applied Perception 工程技术-计算机:软件工程
CiteScore
3.70
自引率
0.00%
发文量
22
审稿时长
12 months
期刊介绍: ACM Transactions on Applied Perception (TAP) aims to strengthen the synergy between computer science and psychology/perception by publishing top quality papers that help to unify research in these fields. The journal publishes inter-disciplinary research of significant and lasting value in any topic area that spans both Computer Science and Perceptual Psychology. All papers must incorporate both perceptual and computer science components.
期刊最新文献
Virtual Reality Audio Game for Entertainment & Sound Localization Training The Impact of Nature Realism on the Restorative Quality of Virtual Reality Forest Bathing Color Theme Evaluation through User Preference Modeling Understanding the Impact of Visual and Kinematic Information on the Perception of Physicality Errors Decoding Functional Brain Data for Emotion Recognition: A Machine Learning Approach
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1