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Evaluation of User Experience in Human–Robot Interaction.pdf (720.1Kb)
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Título
Evaluation of User Experience in Human–Robot Interaction : A Systematic Literature Review
Autor-a
Apraiz Iriarte, AinhoaMondragon Unibertsitatea
Lasa, GanixMondragon Unibertsitatea
Mazmela Etxabe, MaitaneMondragon Unibertsitatea
Grupo de investigación
Centro de Innovación en Diseño
Fecha de publicación
2023
Editor
Springer
Palabras clave
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 [-]
Resumen
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. [-]
URI
https://hdl.handle.net/20.500.11984/5955
Versión del editor
https://doi.org/10.1007/s12369-022-00957-z
ISSN
1875-4805
Publicado en
International Journal of Social Robotics 
Tipo de documento
Artículo
Versión
Postprint – Accepted Manuscript
Derechos
© 2023 Springer
Acceso
Acceso abierto
Colecciones
  • Artículos - Ingeniería [486]

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Recolectado por:

OpenAIREBASE

Validado por:

OpenAIRERebiun
MONDRAGON UNIBERTSITATEA | Biblioteca
Contacto | Sugerencias
DSpace