自动驾驶汽车的声音应该更自信,以便更快地吸引分心司机的注意力

Priscilla N. Y. Wong, Duncan P. Brumby, Harsha Vardhan Ramesh Babu, Kota Kobayashi
{"title":"自动驾驶汽车的声音应该更自信,以便更快地吸引分心司机的注意力","authors":"Priscilla N. Y. Wong, Duncan P. Brumby, Harsha Vardhan Ramesh Babu, Kota Kobayashi","doi":"10.1145/3342197.3344535","DOIUrl":null,"url":null,"abstract":"Automated driving will mean that people can engage in other activities and an important concern will be how to alert the driver to critical events that require their intervention. This study evaluates how various levels of assertiveness of voice command in a semi-AV and different degrees of immersion of a non-driving task may affect people's attention on the road. In a simulated set-up, 20 participants were required to execute actions on the steering wheel when a voice command was given while playing a mobile game. Regardless of how immersed the driver was in the game, a more assertive voice resulted in faster reaction time to the instructions and was perceived as more urgent than a less assertive voice. Automotive systems should use an assertive voice to effectively grab people's attention. This is effective even when they are engaged in an immersive secondary task.","PeriodicalId":244325,"journal":{"name":"Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":"{\"title\":\"Voices in Self-Driving Cars Should be Assertive to More Quickly Grab a Distracted Driver's Attention\",\"authors\":\"Priscilla N. Y. Wong, Duncan P. Brumby, Harsha Vardhan Ramesh Babu, Kota Kobayashi\",\"doi\":\"10.1145/3342197.3344535\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Automated driving will mean that people can engage in other activities and an important concern will be how to alert the driver to critical events that require their intervention. This study evaluates how various levels of assertiveness of voice command in a semi-AV and different degrees of immersion of a non-driving task may affect people's attention on the road. In a simulated set-up, 20 participants were required to execute actions on the steering wheel when a voice command was given while playing a mobile game. Regardless of how immersed the driver was in the game, a more assertive voice resulted in faster reaction time to the instructions and was perceived as more urgent than a less assertive voice. Automotive systems should use an assertive voice to effectively grab people's attention. This is effective even when they are engaged in an immersive secondary task.\",\"PeriodicalId\":244325,\"journal\":{\"name\":\"Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"21\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3342197.3344535\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3342197.3344535","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 21

摘要

自动驾驶意味着人们可以从事其他活动,一个重要的问题是如何提醒司机注意需要他们干预的关键事件。这项研究评估了在半自动驾驶汽车中不同程度的语音指令和不同程度的非驾驶任务的沉浸感如何影响人们在道路上的注意力。在模拟设置中,20名参与者被要求在玩手机游戏时发出语音指令,在方向盘上执行动作。不管司机在游戏中有多沉浸,一个更自信的声音会导致对指令的反应时间更快,并且被认为比一个不那么自信的声音更紧急。汽车系统应该使用自信的声音来有效地吸引人们的注意力。即使当他们从事沉浸式的次要任务时,这也是有效的。
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
Voices in Self-Driving Cars Should be Assertive to More Quickly Grab a Distracted Driver's Attention
Automated driving will mean that people can engage in other activities and an important concern will be how to alert the driver to critical events that require their intervention. This study evaluates how various levels of assertiveness of voice command in a semi-AV and different degrees of immersion of a non-driving task may affect people's attention on the road. In a simulated set-up, 20 participants were required to execute actions on the steering wheel when a voice command was given while playing a mobile game. Regardless of how immersed the driver was in the game, a more assertive voice resulted in faster reaction time to the instructions and was perceived as more urgent than a less assertive voice. Automotive systems should use an assertive voice to effectively grab people's attention. This is effective even when they are engaged in an immersive secondary task.
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
期刊最新文献
InCarAR Overtrust in External Cues of Automated Vehicles: An Experimental Investigation Towards Opt-Out Permission Policies to Maximize the Use of Automated Driving Projection Displays Induce Less Simulator Sickness than Head-Mounted Displays in a Real Vehicle Driving Simulator Teleoperation: The Holy Grail to Solve Problems of Automated Driving? Sure, but Latency Matters
×
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