Ana Pinto, Inês Duarte, Carla Carvalho, Luís Rocha, Joana Santos
{"title":"通过用户体验目标改进机器人设计:采摘任务中的人机协作研究","authors":"Ana Pinto, Inês Duarte, Carla Carvalho, Luís Rocha, Joana Santos","doi":"10.1155/2024/7058933","DOIUrl":null,"url":null,"abstract":"<p>The use of collaborative robots in industries is growing rapidly. To ensure the successful implementation of these devices, it is essential to consider the user experience (UX) during their design process. This study is aimed at testing the UX goals that emerge when users interact with a collaborative robot during the programming and collaborating phases. A framework on UX goals will be tested, in the geographical context of Portugal. For that, an experimental setup was introduced in the form of a laboratory case study in which the human–robot collaboration (HRC) was evaluated by the combination of both quantitative (applying the User Experience Questionnaire [UEQ]) and qualitative (semistructured interviews) metrics. The sample was constituted by 19 university students. The quantitative approach showed positive overall ratings for the programming phase UX, with attractiveness having the highest average value (<i>M</i> = 2.21; SD = 0.59) and dependability the lowest (<i>M</i> = 1.64; SD = 0.65). For the collaboration phase, all UX ratings were positive, with attractiveness having the highest average value (<i>M</i> = 2.46; SD = 0.78) and efficiency the lowest (<i>M</i> = 1.93; SD = 0.77). Only perspicuity showed significant differences between the two phases (<i>t</i>(18) = −4.335, <i>p</i> = 0.002). The qualitative approach, at the light of the framework used, showed that efficiency, inspiration, and usability are the most mentioned UX goals emerging from the content analysis. These findings enhance manufacturing workers’ well-being by improving cobot design in organizations.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/7058933","citationCount":"0","resultStr":"{\"title\":\"Enhancing Cobot Design Through User Experience Goals: An Investigation of Human–Robot Collaboration in Picking Tasks\",\"authors\":\"Ana Pinto, Inês Duarte, Carla Carvalho, Luís Rocha, Joana Santos\",\"doi\":\"10.1155/2024/7058933\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The use of collaborative robots in industries is growing rapidly. To ensure the successful implementation of these devices, it is essential to consider the user experience (UX) during their design process. This study is aimed at testing the UX goals that emerge when users interact with a collaborative robot during the programming and collaborating phases. A framework on UX goals will be tested, in the geographical context of Portugal. For that, an experimental setup was introduced in the form of a laboratory case study in which the human–robot collaboration (HRC) was evaluated by the combination of both quantitative (applying the User Experience Questionnaire [UEQ]) and qualitative (semistructured interviews) metrics. The sample was constituted by 19 university students. The quantitative approach showed positive overall ratings for the programming phase UX, with attractiveness having the highest average value (<i>M</i> = 2.21; SD = 0.59) and dependability the lowest (<i>M</i> = 1.64; SD = 0.65). For the collaboration phase, all UX ratings were positive, with attractiveness having the highest average value (<i>M</i> = 2.46; SD = 0.78) and efficiency the lowest (<i>M</i> = 1.93; SD = 0.77). Only perspicuity showed significant differences between the two phases (<i>t</i>(18) = −4.335, <i>p</i> = 0.002). The qualitative approach, at the light of the framework used, showed that efficiency, inspiration, and usability are the most mentioned UX goals emerging from the content analysis. 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Enhancing Cobot Design Through User Experience Goals: An Investigation of Human–Robot Collaboration in Picking Tasks
The use of collaborative robots in industries is growing rapidly. To ensure the successful implementation of these devices, it is essential to consider the user experience (UX) during their design process. This study is aimed at testing the UX goals that emerge when users interact with a collaborative robot during the programming and collaborating phases. A framework on UX goals will be tested, in the geographical context of Portugal. For that, an experimental setup was introduced in the form of a laboratory case study in which the human–robot collaboration (HRC) was evaluated by the combination of both quantitative (applying the User Experience Questionnaire [UEQ]) and qualitative (semistructured interviews) metrics. The sample was constituted by 19 university students. The quantitative approach showed positive overall ratings for the programming phase UX, with attractiveness having the highest average value (M = 2.21; SD = 0.59) and dependability the lowest (M = 1.64; SD = 0.65). For the collaboration phase, all UX ratings were positive, with attractiveness having the highest average value (M = 2.46; SD = 0.78) and efficiency the lowest (M = 1.93; SD = 0.77). Only perspicuity showed significant differences between the two phases (t(18) = −4.335, p = 0.002). The qualitative approach, at the light of the framework used, showed that efficiency, inspiration, and usability are the most mentioned UX goals emerging from the content analysis. These findings enhance manufacturing workers’ well-being by improving cobot design in organizations.
期刊介绍:
Human Behavior and Emerging Technologies is an interdisciplinary journal dedicated to publishing high-impact research that enhances understanding of the complex interactions between diverse human behavior and emerging digital technologies.