如果听起来像是从村里来的呢?区域语言差异对机器人使用者评价的影响

Birgit Lugrin, Elisabeth Ströle, David Obremski, F. Schwab, Benjamin P. Lange
{"title":"如果听起来像是从村里来的呢?区域语言差异对机器人使用者评价的影响","authors":"Birgit Lugrin, Elisabeth Ströle, David Obremski, F. Schwab, Benjamin P. Lange","doi":"10.1109/RO-MAN47096.2020.9223432","DOIUrl":null,"url":null,"abstract":"The present contribution investigates the effects of spoken language varieties, in particular non-standard / regional language compared to standard language (in our study: High German), in social robotics. Based on (media) psychological and sociolinguistic research, we assumed that a robot speaking in regional language (i.e., dialect and regional accent) would be considered less competent compared to the same robot speaking in standard language (H1). Contrarily, we assumed that regional language might enhance perceived social skills and likability of a robot, at least so when taking into account whether and how much the human observers making the evaluations talk in regional language themselves. More precisely, it was assumed that the more the study participants spoke in regional language, the better their ratings of the dialect-speaking robot on social skills and likeability would be (H2). We also investigated whether the robot’s gender (male vs. female voice) would have an effect on the ratings (RQ). H1 received full, H2 limited empirical support by the data, while the robot’s gender (RQ) turned out to be a mostly negligible factor. Based on our results, practical implications for robots speaking in regional language varieties are suggested.","PeriodicalId":383722,"journal":{"name":"2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"What if it speaks like it was from the village? Effects of a Robot speaking in Regional Language Variations on Users’ Evaluations\",\"authors\":\"Birgit Lugrin, Elisabeth Ströle, David Obremski, F. Schwab, Benjamin P. Lange\",\"doi\":\"10.1109/RO-MAN47096.2020.9223432\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The present contribution investigates the effects of spoken language varieties, in particular non-standard / regional language compared to standard language (in our study: High German), in social robotics. Based on (media) psychological and sociolinguistic research, we assumed that a robot speaking in regional language (i.e., dialect and regional accent) would be considered less competent compared to the same robot speaking in standard language (H1). Contrarily, we assumed that regional language might enhance perceived social skills and likability of a robot, at least so when taking into account whether and how much the human observers making the evaluations talk in regional language themselves. More precisely, it was assumed that the more the study participants spoke in regional language, the better their ratings of the dialect-speaking robot on social skills and likeability would be (H2). We also investigated whether the robot’s gender (male vs. female voice) would have an effect on the ratings (RQ). H1 received full, H2 limited empirical support by the data, while the robot’s gender (RQ) turned out to be a mostly negligible factor. Based on our results, practical implications for robots speaking in regional language varieties are suggested.\",\"PeriodicalId\":383722,\"journal\":{\"name\":\"2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RO-MAN47096.2020.9223432\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RO-MAN47096.2020.9223432","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

摘要

目前的贡献调查了口语品种的影响,特别是与标准语言相比的非标准/区域语言(在我们的研究中:高地德语),在社交机器人中。基于(媒体)心理学和社会语言学的研究,我们假设与使用标准语言(H1)的同一机器人相比,使用地方语言(即方言和地方口音)的机器人会被认为能力较差。相反,我们假设地域语言可能会提高感知到的社交技能和机器人的可爱度,至少在考虑到人类观察员是否以及在多大程度上用地域语言进行评估时是这样。更准确地说,假设研究参与者说的地方语言越多,他们对讲方言的机器人在社交技能和亲和力方面的评分就越高(H2)。我们还调查了机器人的性别(男声vs女声)是否会对评分(RQ)产生影响。H1得到了充分的数据支持,H2得到了有限的数据支持,而机器人的性别(RQ)被证明是一个几乎可以忽略的因素。基于我们的研究结果,提出了使用区域语言变体的机器人的实际意义。
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
What if it speaks like it was from the village? Effects of a Robot speaking in Regional Language Variations on Users’ Evaluations
The present contribution investigates the effects of spoken language varieties, in particular non-standard / regional language compared to standard language (in our study: High German), in social robotics. Based on (media) psychological and sociolinguistic research, we assumed that a robot speaking in regional language (i.e., dialect and regional accent) would be considered less competent compared to the same robot speaking in standard language (H1). Contrarily, we assumed that regional language might enhance perceived social skills and likability of a robot, at least so when taking into account whether and how much the human observers making the evaluations talk in regional language themselves. More precisely, it was assumed that the more the study participants spoke in regional language, the better their ratings of the dialect-speaking robot on social skills and likeability would be (H2). We also investigated whether the robot’s gender (male vs. female voice) would have an effect on the ratings (RQ). H1 received full, H2 limited empirical support by the data, while the robot’s gender (RQ) turned out to be a mostly negligible factor. Based on our results, practical implications for robots speaking in regional language varieties are suggested.
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
An Adaptive Control Approach to Robotic Assembly with Uncertainties in Vision and Dynamics Affective Touch Robots with Changing Textures and Movements Interactive Robotic Systems as Boundary-Crossing Robots – the User’s View* Development of a Learning-Based Intention Detection Framework for Power-Assisted Manual Wheelchair Users Multi-user Robot Impression with a Virtual Agent and Features Modification According to Real-time Emotion from Physiological Signals
×
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