Evaluating human-robot interaction user experiences in manufacturing: An initial assessment framework

Tong, Yanzhang, Zhang, Qiyuan and Ji, Ze ORCID: https://orcid.org/0000-0002-8968-9902 2024. Evaluating human-robot interaction user experiences in manufacturing: An initial assessment framework. Presented at: 2024 IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), Pasadena, CA, USA, 26 - 30 Aug 2024. 2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN). IEEE, pp. 244-249. 10.1109/RO-MAN60168.2024.10731394

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Abstract

In the manufacturing sector, enhancing user experiences (UX) in Human-Robot Interaction (HRI) and Human-robot collaboration (HRC) are becoming increasingly essential. The core contribution of this research is the development of a UX assessment framework tailored for evaluating HRI in manufacturing, including five facets of UX. Through qualitative semi-structured interviews, we focus on identifying key factors that constitute UX in the manufacturing context. This framework is derived from an in-depth analysis of user feedback, providing a structured approach to understanding user interactions with robots. Our work highlights the importance of fostering intuitive and productive human-robot relationships in manufacturing. Future research should explore diverse manufacturing environments and integrate emerging technologies to further refine and validate the framework.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Published Online
Status:	Published
Schools:	Schools > Engineering Schools > Psychology
Publisher:	IEEE
ISBN:	9798350375039
ISSN:	1944-9445
Date of First Compliant Deposit:	3 June 2024
Date of Acceptance:	27 May 2024
Last Modified:	14 Nov 2024 09:48
URI:	https://orca.cardiff.ac.uk/id/eprint/169410

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