Entropy-based eye-tracking analysis when a user watches a PRVA's recommendations

T. Matsui, S. Yamada
{"title":"Entropy-based eye-tracking analysis when a user watches a PRVA's recommendations","authors":"T. Matsui, S. Yamada","doi":"10.1109/ROMAN.2017.8172275","DOIUrl":null,"url":null,"abstract":"We conducted three experiments to discover the effect of a virtual agent's state transition on a user's eye gaze. Many previous studies showed that an agent's state transition affects a user's state. We focused on two kinds of transitions, the internal state transition and appearance state transition. In this research, we used a product recommendation virtual agent (PRVA) and aimed to discover the effect of its state transitions on users' eye gaze as it made recommendations. We used entropy-based analysis to visualise the deviation of a user's fixations. In experiment 1, the PRVA made recommendations without state transitions. In experiment 2, the amount of the PRVA's knowledge transitioned from low to high during the recommendations. This is an internal state transition. In experiment 3, the PRVA's facial expressions and gestures transitioned from a neutral to positive emotion during the recommendations. This is an appearance state transition. As a result, both the entropy-based analysis and fixation duration based analysis showed significant differences in experiment 3. These results show that an agent's appearance state transitions cause a user's eye gaze to transition.","PeriodicalId":134777,"journal":{"name":"2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)","volume":"94 6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROMAN.2017.8172275","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

We conducted three experiments to discover the effect of a virtual agent's state transition on a user's eye gaze. Many previous studies showed that an agent's state transition affects a user's state. We focused on two kinds of transitions, the internal state transition and appearance state transition. In this research, we used a product recommendation virtual agent (PRVA) and aimed to discover the effect of its state transitions on users' eye gaze as it made recommendations. We used entropy-based analysis to visualise the deviation of a user's fixations. In experiment 1, the PRVA made recommendations without state transitions. In experiment 2, the amount of the PRVA's knowledge transitioned from low to high during the recommendations. This is an internal state transition. In experiment 3, the PRVA's facial expressions and gestures transitioned from a neutral to positive emotion during the recommendations. This is an appearance state transition. As a result, both the entropy-based analysis and fixation duration based analysis showed significant differences in experiment 3. These results show that an agent's appearance state transitions cause a user's eye gaze to transition.
当用户观看PRVA的推荐时,基于熵的眼球追踪分析
我们进行了三个实验来发现虚拟代理的状态转换对用户眼睛注视的影响。许多先前的研究表明,代理的状态转换会影响用户的状态。我们着重研究了两种类型的转换,即内部状态转换和外观状态转换。在本研究中,我们使用了一个产品推荐虚拟代理(PRVA),目的是发现它在进行推荐时状态转换对用户目光的影响。我们使用基于熵的分析来可视化用户注视的偏差。在实验1中,PRVA在没有状态转换的情况下进行推荐。在实验2中,PRVA的知识量在推荐过程中由低向高转变。这是一个内部状态转换。在实验3中,在推荐过程中,PRVA的面部表情和手势从中性情绪转变为积极情绪。这是一个外观状态转换。因此,在实验3中,基于熵的分析和基于注视时间的分析均存在显著差异。这些结果表明,代理的外观状态转换导致用户的眼睛注视转换。
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:604180095
Book学术官方微信