Understanding Interviewees’ Perceptions and Behaviour towards Verbally and Non-verbally Expressive Virtual Interviewing Agents

Jinal D. Thakkar, Pooja S B. Rao, Kumar Shubham, Vaibhav Jain, D. Jayagopi
{"title":"Understanding Interviewees’ Perceptions and Behaviour towards Verbally and Non-verbally Expressive Virtual Interviewing Agents","authors":"Jinal D. Thakkar, Pooja S B. Rao, Kumar Shubham, Vaibhav Jain, D. Jayagopi","doi":"10.1145/3536220.3558802","DOIUrl":null,"url":null,"abstract":"Recent technological advancements have boosted the usage of virtual interviewing platforms where the candidates interact with a virtual interviewing agent or an avatar that has human-like behavior instead of face-to-face interviews. As a result, it is essential to understand how candidates perceive these virtual interviewing avatars and whether adding features to boost the system’s interaction makes a difference. In this work, we present the results of two studies in which a virtual interviewing avatar with verbal and non-verbal interaction capabilities was used to conduct employment interviews. We add two interactive capabilities to the avatar, namely the non-verbal gestures and the verbal follow-up questioning and compare it with a simple interviewing avatar. We analyze the differences in perception with self-rated measures and behaviour with automatically extracted audiovisual behavioural cues. The results show that the candidates speak for a longer time, feel less stressed and have a better chance to perform with verbally and non-verbally expressive virtual interviewing agents.","PeriodicalId":186796,"journal":{"name":"Companion Publication of the 2022 International Conference on Multimodal Interaction","volume":"284 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Companion Publication of the 2022 International Conference on Multimodal Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3536220.3558802","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

Recent technological advancements have boosted the usage of virtual interviewing platforms where the candidates interact with a virtual interviewing agent or an avatar that has human-like behavior instead of face-to-face interviews. As a result, it is essential to understand how candidates perceive these virtual interviewing avatars and whether adding features to boost the system’s interaction makes a difference. In this work, we present the results of two studies in which a virtual interviewing avatar with verbal and non-verbal interaction capabilities was used to conduct employment interviews. We add two interactive capabilities to the avatar, namely the non-verbal gestures and the verbal follow-up questioning and compare it with a simple interviewing avatar. We analyze the differences in perception with self-rated measures and behaviour with automatically extracted audiovisual behavioural cues. The results show that the candidates speak for a longer time, feel less stressed and have a better chance to perform with verbally and non-verbally expressive virtual interviewing agents.
了解受访者对口头和非口头表达的虚拟面试代理人的感知和行为
最近的技术进步促进了虚拟面试平台的使用,在虚拟面试平台上,候选人与虚拟面试代理或具有类似人类行为的化身互动,而不是面对面的面试。因此,有必要了解候选人如何看待这些虚拟面试化身,以及增加功能以促进系统的互动是否会产生影响。在这项工作中,我们介绍了两项研究的结果,其中使用具有语言和非语言互动能力的虚拟面试化身进行就业面试。我们为虚拟化身增加了两种交互功能,即非语言手势和口头后续提问,并将其与简单的采访虚拟化身进行比较。我们用自评方法分析感知差异,用自动提取的视听行为线索分析行为差异。结果表明,在口头表达和非口头表达的虚拟面试代理中,候选人的发言时间更长,压力更小,有更好的机会表现。
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