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 collaborati...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2024-01-01
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| Series: | Human Behavior and Emerging Technologies |
| Online Access: | http://dx.doi.org/10.1155/2024/7058933 |
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| _version_ | 1832569210617724928 |
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| author | Ana Pinto Inês Duarte Carla Carvalho Luís Rocha Joana Santos |
| author_facet | Ana Pinto Inês Duarte Carla Carvalho Luís Rocha Joana Santos |
| author_sort | Ana Pinto |
| collection | DOAJ |
| description | 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 (t18=−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. |
| format | Article |
| id | doaj-art-a80f1a22edc64632ba5bda6fa0bd5c28 |
| institution | Kabale University |
| issn | 2578-1863 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Human Behavior and Emerging Technologies |
| spelling | doaj-art-a80f1a22edc64632ba5bda6fa0bd5c282025-02-02T23:03:41ZengWileyHuman Behavior and Emerging Technologies2578-18632024-01-01202410.1155/2024/7058933Enhancing Cobot Design Through User Experience Goals: An Investigation of Human–Robot Collaboration in Picking TasksAna Pinto0Inês Duarte1Carla Carvalho2Luís Rocha3Joana Santos4Centre for Business and Economics Research (CEBER)Faculty of Psychology and Educational SciencesCenter for Research in Neuropsychology and Cognitive Behavioral Intervention (CINEICC)Institute for Systems and Computer EngineeringCenter for Translational Health and Medical Biotechnology Research (TBIO)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 (t18=−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.http://dx.doi.org/10.1155/2024/7058933 |
| spellingShingle | Ana Pinto Inês Duarte Carla Carvalho Luís Rocha Joana Santos Enhancing Cobot Design Through User Experience Goals: An Investigation of Human–Robot Collaboration in Picking Tasks Human Behavior and Emerging Technologies |
| title | Enhancing Cobot Design Through User Experience Goals: An Investigation of Human–Robot Collaboration in Picking Tasks |
| title_full | Enhancing Cobot Design Through User Experience Goals: An Investigation of Human–Robot Collaboration in Picking Tasks |
| title_fullStr | Enhancing Cobot Design Through User Experience Goals: An Investigation of Human–Robot Collaboration in Picking Tasks |
| title_full_unstemmed | Enhancing Cobot Design Through User Experience Goals: An Investigation of Human–Robot Collaboration in Picking Tasks |
| title_short | Enhancing Cobot Design Through User Experience Goals: An Investigation of Human–Robot Collaboration in Picking Tasks |
| title_sort | enhancing cobot design through user experience goals an investigation of human robot collaboration in picking tasks |
| url | http://dx.doi.org/10.1155/2024/7058933 |
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