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Title
Evaluation of User Experience in Human–Robot Interaction : A Systematic Literature Review
Author
Apraiz Iriarte, Ainhoa
Lasa, Ganix
Mazmela Etxabe, Maitane
Research Group
Centro de Innovación en Diseño
Version
Postprint
Rights
© 2023 Springer
Access
Open access
URI
https://hdl.handle.net/20.500.11984/5955
Publisher’s version
https://doi.org/10.1007/s12369-022-00957-z
Published at
International Journal of Social Robotics 
Publisher
Springer
Keywords
Human–robot collaboration
human machine interaction
human-computer interaction
Human Robot Interaction ... [+]
Human–robot collaboration
human machine interaction
human-computer interaction
Human Robot Interaction
user experience
Systematic literature reviews
Human Factors [-]
Abstract
Industry 4.0 has ushered in a new era of process automation, thus redefining the role of people and altering existing workplaces into unknown formats. The number of robots in the manufacturing industr ... [+]
Industry 4.0 has ushered in a new era of process automation, thus redefining the role of people and altering existing workplaces into unknown formats. The number of robots in the manufacturing industry has been steadily increasing for several decades and in recent years the number and variety of industries using robots have also increased. For robots to become allies in the day-to-day lives of operators, they need to provide positive and fit-for-purpose experiences through smooth and satisfying interactions. In this sense, user experience (UX) serves as the greatest link between persons and robots. Essential to the study of UX is its evaluation. Therefore, the aim of this study is to identify methodologies that evaluate the human–robot interaction (HRI) from a human-centred approach. A systematic literature review has been carried out, in which 24 articles have been identified. Among these, are 15 experimental studies, in addition to theoretical frameworks and tools. The review has provided insight into how evaluations are conducted in HRI. The results show the most evaluated factors and how they are measured considering different types of measurements: qualitative and quantitative, objective and subjective. Research gaps and future directions are correspondingly identified. [-]
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