在自动驾驶汽车中体现虚拟代理

IF 0.2 Q4 COMPUTER SCIENCE, CYBERNETICS International Journal of Mobile Human Computer Interaction Pub Date : 2023-09-21 DOI:10.4018/ijmhci.330542
Clarisse Lawson-Guidigbe, Nicolas Louveton, Kahina Amokrane-Ferka, Benoît Le Blanc, Jean-Marc André
{"title":"在自动驾驶汽车中体现虚拟代理","authors":"Clarisse Lawson-Guidigbe, Nicolas Louveton, Kahina Amokrane-Ferka, Benoît Le Blanc, Jean-Marc André","doi":"10.4018/ijmhci.330542","DOIUrl":null,"url":null,"abstract":"This article considers the visual appearance of a virtual agent designed to take over the driving task in a highly automated car, to answer the question of which visual appearance is appropriate for a virtual agent in a driving role. The authors first selected five models of visual appearance thanks to a picture sorting procedure (N = 19). Then, they conducted a survey-based study (N = 146) using scales of trust, anthropomorphism, and likability to assess the appropriateness of those five models from an early-prototyping perspective. They found that human and mechanical-human models were more trusted than other selected models in the context of highly automated cars. Instead, animal and mechanical-animal ones appeared to be less suited to the role of a driving assistant. Learnings from the methodology are discussed, and suggestions for further research are proposed.","PeriodicalId":43100,"journal":{"name":"International Journal of Mobile Human Computer Interaction","volume":null,"pages":null},"PeriodicalIF":0.2000,"publicationDate":"2023-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Embodying a Virtual Agent in a Self-Driving Car\",\"authors\":\"Clarisse Lawson-Guidigbe, Nicolas Louveton, Kahina Amokrane-Ferka, Benoît Le Blanc, Jean-Marc André\",\"doi\":\"10.4018/ijmhci.330542\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article considers the visual appearance of a virtual agent designed to take over the driving task in a highly automated car, to answer the question of which visual appearance is appropriate for a virtual agent in a driving role. The authors first selected five models of visual appearance thanks to a picture sorting procedure (N = 19). Then, they conducted a survey-based study (N = 146) using scales of trust, anthropomorphism, and likability to assess the appropriateness of those five models from an early-prototyping perspective. They found that human and mechanical-human models were more trusted than other selected models in the context of highly automated cars. Instead, animal and mechanical-animal ones appeared to be less suited to the role of a driving assistant. Learnings from the methodology are discussed, and suggestions for further research are proposed.\",\"PeriodicalId\":43100,\"journal\":{\"name\":\"International Journal of Mobile Human Computer Interaction\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.2000,\"publicationDate\":\"2023-09-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Mobile Human Computer Interaction\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/ijmhci.330542\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, CYBERNETICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Mobile Human Computer Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/ijmhci.330542","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, CYBERNETICS","Score":null,"Total":0}
引用次数: 0

摘要

本文考虑了在高度自动化的汽车中接管驾驶任务的虚拟代理的视觉外观,以回答哪个视觉外观适合扮演驾驶角色的虚拟代理的问题。作者首先通过图片排序程序选择了5个视觉外观模型(N = 19)。然后,他们进行了一项基于调查的研究(N = 146),使用信任、拟人化和亲和力量表,从早期原型的角度评估这五种模型的适当性。他们发现,在高度自动化的汽车环境中,人类模型和机械-人类模型比其他选定的模型更受信任。相反,动物和机械动物似乎不太适合担任驾驶助理的角色。讨论了该方法的经验教训,并提出了进一步研究的建议。
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
Embodying a Virtual Agent in a Self-Driving Car
This article considers the visual appearance of a virtual agent designed to take over the driving task in a highly automated car, to answer the question of which visual appearance is appropriate for a virtual agent in a driving role. The authors first selected five models of visual appearance thanks to a picture sorting procedure (N = 19). Then, they conducted a survey-based study (N = 146) using scales of trust, anthropomorphism, and likability to assess the appropriateness of those five models from an early-prototyping perspective. They found that human and mechanical-human models were more trusted than other selected models in the context of highly automated cars. Instead, animal and mechanical-animal ones appeared to be less suited to the role of a driving assistant. Learnings from the methodology are discussed, and suggestions for further research are proposed.
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
CiteScore
4.70
自引率
0.00%
发文量
5
期刊最新文献
Embodying a Virtual Agent in a Self-Driving Car Predictors of Usability of a Mobile Intelligent Agent Information Provider for College Students A Correlation Study of Demographic Characteristics and Smartphone Task Performance: A Comparison Between Younger and Elderly Users The Indirect Effect of Theory of Mind on the Relationship of Smartphone Addiction and Autism Quotient Comparing Scales for the Assessment of Visual Aesthetics of Mobile GUIs Through Human Judgments
×
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