Perception of Human-Robot Collaboration Across Countries and Job Domains

Gurpreet Kaur, Sean Banerjee, N. Banerjee
{"title":"Perception of Human-Robot Collaboration Across Countries and Job Domains","authors":"Gurpreet Kaur, Sean Banerjee, N. Banerjee","doi":"10.1109/ARSO56563.2023.10187560","DOIUrl":null,"url":null,"abstract":"Understanding perceptions of blue-collar workers on safety, autonomy, and job security in collaborative human-robot environments is vital to ensure that fear and job displacement is minimized in the future. Perception and fear of robots is driven by culture, country, education level, position in the labor market, and minority status. Recent studies suggest that workers may develop positive views if robots are used to perform less desirable tasks, improve skills, and facilitate workplace safety. In this paper, we conduct a survey of worker perceptions towards robots of varying collaborative capabilitiesfully interventional or always assistive, fully standoff or never directly assistive, and assistive on an as-needed basis. We administer a questionnaire-based survey to blue-collar workers in 4 different countries, United States of America, Canada, United Kingdom, and Australia working in construction, contract work, manufacturing, retail, transportation and delivery, and warehousing. We received 530 successful responses in total from workers in all 4 countries and 6 job domains. To better understand whether perceptions of collaborative robots and human co-workers are universal or job and country-based, we break down our analysis based on the respondent reported job domain and country. We find perceptions of co-workers and robots to be job domain and country dependent, necessitating the need to develop robotic assistants with job domain and cultural awareness.","PeriodicalId":382832,"journal":{"name":"2023 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ARSO56563.2023.10187560","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

Understanding perceptions of blue-collar workers on safety, autonomy, and job security in collaborative human-robot environments is vital to ensure that fear and job displacement is minimized in the future. Perception and fear of robots is driven by culture, country, education level, position in the labor market, and minority status. Recent studies suggest that workers may develop positive views if robots are used to perform less desirable tasks, improve skills, and facilitate workplace safety. In this paper, we conduct a survey of worker perceptions towards robots of varying collaborative capabilitiesfully interventional or always assistive, fully standoff or never directly assistive, and assistive on an as-needed basis. We administer a questionnaire-based survey to blue-collar workers in 4 different countries, United States of America, Canada, United Kingdom, and Australia working in construction, contract work, manufacturing, retail, transportation and delivery, and warehousing. We received 530 successful responses in total from workers in all 4 countries and 6 job domains. To better understand whether perceptions of collaborative robots and human co-workers are universal or job and country-based, we break down our analysis based on the respondent reported job domain and country. We find perceptions of co-workers and robots to be job domain and country dependent, necessitating the need to develop robotic assistants with job domain and cultural awareness.
跨国家和工作领域的人机协作感知
了解蓝领工人在人机协作环境中对安全、自主和工作保障的看法,对于确保未来最小化恐惧和工作流离失所至关重要。对机器人的感知和恐惧是由文化、国家、教育水平、劳动力市场地位和少数民族地位驱动的。最近的研究表明,如果机器人被用来执行不太理想的任务,提高技能,并促进工作场所的安全,工人们可能会产生积极的看法。在本文中,我们对工人对不同协作能力的机器人的看法进行了调查,这些能力包括完全介入或始终辅助,完全对峙或从不直接辅助,以及根据需要提供辅助。我们对美国、加拿大、英国和澳大利亚四个不同国家的蓝领工人进行了问卷调查,他们从事建筑、承包、制造、零售、运输和配送以及仓储等行业。我们总共收到了来自4个国家和6个工作领域的530名员工的成功回复。为了更好地理解对协作机器人和人类同事的看法是普遍的还是基于工作和国家的,我们根据受访者报告的工作领域和国家对我们的分析进行了分解。我们发现,人们对同事和机器人的看法取决于工作领域和国家,因此有必要开发具有工作领域和文化意识的机器人助手。
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