Keep Distance with a Smile - User Characteristics in Human-Robot Collaboration

J. Jost, T. Kirks, Stuart Chapman, G. Rinkenauer
{"title":"Keep Distance with a Smile - User Characteristics in Human-Robot Collaboration","authors":"J. Jost, T. Kirks, Stuart Chapman, G. Rinkenauer","doi":"10.1109/ETFA45728.2021.9613601","DOIUrl":null,"url":null,"abstract":"In today's production plants, close cooperation between mobile robots and humans is becoming increasingly important. Several research papers have shown that proxemics is a suitable theoretical concept for predicting the distance behavior of humans when cooperating with robots. Our study was conducted within the framework of this concept. However, such studies often only focus on the different characteristics of the robot, so we further investigate the effects of human characteristics on the distance control. As independent variables, we systematically varied the characteristics of a transportation robot (speed, height, emotional expression) and additionally collected the characteristics of our 29 subjects (gender, experience with robots, experience with pets, attitude toward Robots). As a dependent variable, the distance of the subjects to the robot was measured using a motion capture system. Our research hypotheses were formulated based on the proxemics concept. As results show, the distance increases with the size of the robot or decreases with a friendly expression of the robot. In general, our results suggest that both the characteristics of the robot and the characteristics of the human partner influence distance regulation.","PeriodicalId":312498,"journal":{"name":"2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ETFA45728.2021.9613601","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

In today's production plants, close cooperation between mobile robots and humans is becoming increasingly important. Several research papers have shown that proxemics is a suitable theoretical concept for predicting the distance behavior of humans when cooperating with robots. Our study was conducted within the framework of this concept. However, such studies often only focus on the different characteristics of the robot, so we further investigate the effects of human characteristics on the distance control. As independent variables, we systematically varied the characteristics of a transportation robot (speed, height, emotional expression) and additionally collected the characteristics of our 29 subjects (gender, experience with robots, experience with pets, attitude toward Robots). As a dependent variable, the distance of the subjects to the robot was measured using a motion capture system. Our research hypotheses were formulated based on the proxemics concept. As results show, the distance increases with the size of the robot or decreases with a friendly expression of the robot. In general, our results suggest that both the characteristics of the robot and the characteristics of the human partner influence distance regulation.
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
用微笑保持距离——人机协作中的用户特征
在今天的生产工厂中,移动机器人和人类之间的密切合作变得越来越重要。一些研究表明,近距离学是预测人类与机器人合作时距离行为的一个合适的理论概念。我们的研究是在这个概念的框架内进行的。然而,此类研究往往只关注机器人的不同特性,因此我们进一步研究人的特性对距离控制的影响。作为自变量,我们系统地改变了运输机器人的特征(速度、高度、情绪表达),并收集了29名受试者的特征(性别、使用机器人的经验、与宠物的经验、对机器人的态度)。作为一个因变量,受试者到机器人的距离是用动作捕捉系统测量的。我们的研究假设是基于邻近学的概念制定的。结果表明,距离随着机器人尺寸的增大而增大,随着机器人友好的表情而减小。总的来说,我们的研究结果表明,机器人的特性和人类伴侣的特性都会影响距离调节。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
An Optimal Order Assignment Algorithm for Single-Rate Time-Driven AFAP Cyclic Executives Demonstrating Reinforcement Learning for Maintenance Scheduling in a Production Environment Investigation in IoT and 5G architectures for deployment of Artificial Intelligence into urban mobility and production Towards a Robust MMIO-based Synchronized Clock for Virtualized Edge Computing Devices LETRA: Mapping Legacy Ethernet-Based Traffic into TSN Traffic Classes
×
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