利用社会凝视和说话活动自动确定外向性特征

B. Lepri, Subramanian Ramanathan, Kyriaki Kalimeri, Jacopo Staiano, F. Pianesi, N. Sebe
{"title":"利用社会凝视和说话活动自动确定外向性特征","authors":"B. Lepri, Subramanian Ramanathan, Kyriaki Kalimeri, Jacopo Staiano, F. Pianesi, N. Sebe","doi":"10.1145/1891903.1891913","DOIUrl":null,"url":null,"abstract":"In order to predict the Extraversion personality trait, we exploit medium-grained behaviors enacted in group meetings, namely, speaking time and social attention (social gaze). The latter will be further distinguished in to attention given to the group members and attention received from them. The results of our work confirm many of our hypotheses: a) speaking time and (some forms of) social gaze are effective in automatically predicting Extraversion; b) classification accuracy is affected by the size of the time slices used for analysis, and c) to a large extent, the consideration of the social context does not add much to accuracy prediction, with an important exception concerning social gaze.","PeriodicalId":181145,"journal":{"name":"ICMI-MLMI '10","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"39","resultStr":"{\"title\":\"Employing social gaze and speaking activity for automatic determination of the Extraversion trait\",\"authors\":\"B. Lepri, Subramanian Ramanathan, Kyriaki Kalimeri, Jacopo Staiano, F. Pianesi, N. Sebe\",\"doi\":\"10.1145/1891903.1891913\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to predict the Extraversion personality trait, we exploit medium-grained behaviors enacted in group meetings, namely, speaking time and social attention (social gaze). The latter will be further distinguished in to attention given to the group members and attention received from them. The results of our work confirm many of our hypotheses: a) speaking time and (some forms of) social gaze are effective in automatically predicting Extraversion; b) classification accuracy is affected by the size of the time slices used for analysis, and c) to a large extent, the consideration of the social context does not add much to accuracy prediction, with an important exception concerning social gaze.\",\"PeriodicalId\":181145,\"journal\":{\"name\":\"ICMI-MLMI '10\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"39\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ICMI-MLMI '10\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1891903.1891913\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ICMI-MLMI '10","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1891903.1891913","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 39

摘要

为了预测外向性人格特征,我们利用了群体会议中出现的中等粒度行为,即发言时间和社会注意力(社会注视)。后者将进一步区分对小组成员的关注和从他们那里得到的关注。我们的工作结果证实了我们的许多假设:a)说话时间和(某些形式的)社交凝视在自动预测外向性方面是有效的;B)分类精度受到用于分析的时间片大小的影响,c)在很大程度上,社会背景的考虑对精度预测没有多大帮助,但社会凝视是一个重要的例外。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Employing social gaze and speaking activity for automatic determination of the Extraversion trait
In order to predict the Extraversion personality trait, we exploit medium-grained behaviors enacted in group meetings, namely, speaking time and social attention (social gaze). The latter will be further distinguished in to attention given to the group members and attention received from them. The results of our work confirm many of our hypotheses: a) speaking time and (some forms of) social gaze are effective in automatically predicting Extraversion; b) classification accuracy is affected by the size of the time slices used for analysis, and c) to a large extent, the consideration of the social context does not add much to accuracy prediction, with an important exception concerning social gaze.
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
自引率
0.00%
发文量
0
×
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