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Systematic Review

User Experience in Social Robots

Department of Computer Science, Østfold University College, 1783 Halden, Norway
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Author to whom correspondence should be addressed.
Academic Editors: Biswanath Samanta and Carina Soledad González-González
Sensors 2021, 21(15), 5052; https://doi.org/10.3390/s21155052
Received: 28 May 2021 / Revised: 20 July 2021 / Accepted: 23 July 2021 / Published: 26 July 2021
(This article belongs to the Special Issue Human-Computer Interaction in Pervasive Computing Environments)
Social robots are increasingly penetrating our daily lives. They are used in various domains, such as healthcare, education, business, industry, and culture. However, introducing this technology for use in conventional environments is not trivial. For users to accept social robots, a positive user experience is vital, and it should be considered as a critical part of the robots’ development process. This may potentially lead to excessive use of social robots and strengthen their diffusion in society. The goal of this study is to summarize the extant literature that is focused on user experience in social robots, and to identify the challenges and benefits of UX evaluation in social robots. To achieve this goal, the authors carried out a systematic literature review that relies on PRISMA guidelines. Our findings revealed that the most common methods to evaluate UX in social robots are questionnaires and interviews. UX evaluations were found out to be beneficial in providing early feedback and consequently in handling errors at an early stage. However, despite the importance of UX in social robots, robot developers often neglect to set UX goals due to lack of knowledge or lack of time. This study emphasizes the need for robot developers to acquire the required theoretical and practical knowledge on how to perform a successful UX evaluation. View Full-Text
Keywords: social robots; human-robot interaction; UX evaluation; systematic literature review social robots; human-robot interaction; UX evaluation; systematic literature review
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MDPI and ACS Style

Shourmasti, E.S.; Colomo-Palacios, R.; Holone, H.; Demi, S. User Experience in Social Robots. Sensors 2021, 21, 5052. https://doi.org/10.3390/s21155052

AMA Style

Shourmasti ES, Colomo-Palacios R, Holone H, Demi S. User Experience in Social Robots. Sensors. 2021; 21(15):5052. https://doi.org/10.3390/s21155052

Chicago/Turabian Style

Shourmasti, Elaheh Shahmir, Ricardo Colomo-Palacios, Harald Holone, and Selina Demi. 2021. "User Experience in Social Robots" Sensors 21, no. 15: 5052. https://doi.org/10.3390/s21155052

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