Vision based personality analysis using transfer learning methods

A. Kındıroglu, L. Akarun, O. Aran
{"title":"Vision based personality analysis using transfer learning methods","authors":"A. Kındıroglu, L. Akarun, O. Aran","doi":"10.1109/SIU.2014.6830663","DOIUrl":null,"url":null,"abstract":"In this study, we investigate the techniques to automatically predict the extraversion trait among the Big Five personality traits (Openness to Experience, Conscientiousness, Extraversion, Agreableness, Emotional Stability) using visual nonverbal cues in small group meetings. Our aim is to increase the prediction accuracy by transferring the knowledge that can be extracted from conversational video blogs (vlogs) in video blogging sites, where there is vast amount of data, to predict personality with visual nonverbal cues in small group settings, where obtaining data is challenging. Our experiments show that, for predicting the extraversion trait, using vlogs as part of the training data results in higher accuracies than using only the small group meeting data.","PeriodicalId":384835,"journal":{"name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIU.2014.6830663","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

In this study, we investigate the techniques to automatically predict the extraversion trait among the Big Five personality traits (Openness to Experience, Conscientiousness, Extraversion, Agreableness, Emotional Stability) using visual nonverbal cues in small group meetings. Our aim is to increase the prediction accuracy by transferring the knowledge that can be extracted from conversational video blogs (vlogs) in video blogging sites, where there is vast amount of data, to predict personality with visual nonverbal cues in small group settings, where obtaining data is challenging. Our experiments show that, for predicting the extraversion trait, using vlogs as part of the training data results in higher accuracies than using only the small group meeting data.
基于视觉的迁移学习人格分析方法
在本研究中,我们研究了在小组会议中使用视觉非语言线索自动预测五大人格特征(开放性、尽责性、外向性、宜人性和情绪稳定性)中的外向性的技术。我们的目标是通过转移可以从视频博客网站的会话视频博客(vlogs)中提取的知识来提高预测的准确性,其中有大量的数据,在小组设置中使用视觉非语言线索来预测个性,其中获取数据是具有挑战性的。我们的实验表明,在预测外向性方面,使用视频日志作为训练数据的一部分比只使用小组会议数据具有更高的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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