What Affects Human Decision Making in Human–Robot Collaboration?: A Scoping Review

Liu, Y; Caldwell, G; Rittenbruch, M; Belek Fialho Teixeira, M; Burden, A; Guertler, M

What Affects Human Decision Making in Human–Robot Collaboration?: A Scoping Review

Liu, Y Caldwell, G Rittenbruch, M Belek Fialho Teixeira, M Burden, A Guertler, M

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Publisher:: MDPI
Publication Type:: Journal Article
Citation:: Robotics, 2024, 13, (2), pp. 30
Issue Date:: 2024-02-01

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Field	Value	Language
dc.contributor.author	Liu, Y
dc.contributor.author	Caldwell, G
dc.contributor.author	Rittenbruch, M
dc.contributor.author	Belek Fialho Teixeira, M
dc.contributor.author	Burden, A
dc.contributor.author	Guertler, M https://orcid.org/0000-0001-7062-6349
dc.date.accessioned	2024-11-13T04:16:50Z
dc.date.available	2024-11-13T04:16:50Z
dc.date.issued	2024-02-01
dc.identifier.citation	Robotics, 2024, 13, (2), pp. 30
dc.identifier.issn	2218-6581
dc.identifier.issn	2218-6581
dc.identifier.uri	http://hdl.handle.net/10453/181875
dc.description.abstract	The advent of Industry 4.0 has heralded advancements in Human–robot Collaboration (HRC), necessitating a deeper understanding of the factors influencing human decision making within this domain. This scoping review examines the breadth of research conducted on HRC, with a particular focus on identifying factors that affect human decision making during collaborative tasks and finding potential solutions to improve human decision making. We conducted a comprehensive search across databases including Scopus, IEEE Xplore and ACM Digital Library, employing a snowballing technique to ensure the inclusion of all pertinent studies, and adopting the PRISMA Extension for Scoping Reviews (PRISMA-ScR) for the reviewing process. Some of the important aspects were identified: (i) studies’ design and setting; (ii) types of human–robot interaction, types of cobots and types of tasks; (iii) factors related to human decision making; and (iv) types of user interfaces for human–robot interaction. Results indicate that cognitive workload and user interface are key in influencing decision making in HRC. Future research should consider social dynamics and psychological safety, use mixed methods for deeper insights and consider diverse cobots and tasks to expand decision-making studies. Emerging XR technologies offer the potential to enhance interaction and thus improve decision making, underscoring the need for intuitive communication and human-centred design.
dc.language	en
dc.publisher	MDPI
dc.relation	http://purl.org/au-research/grants/arc/IC200100001
dc.relation.ispartof	Robotics
dc.relation.isbasedon	10.3390/robotics13020030
dc.rights	info:eu-repo/semantics/openAccess
dc.title	What Affects Human Decision Making in Human–Robot Collaboration?: A Scoping Review
dc.type	Journal Article
utslib.citation.volume	13
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
pubs.organisational-group	University of Technology Sydney/UTS Groups
pubs.organisational-group	University of Technology Sydney/UTS Groups/Centre for Advanced Manufacturing (CAM)
utslib.copyright.status	open_access	*
dc.rights.license	This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/
dc.date.updated	2024-11-13T04:16:48Z
pubs.issue	2
pubs.publication-status	Published
pubs.volume	13
utslib.citation.issue	2

Abstract:

The advent of Industry 4.0 has heralded advancements in Human–robot Collaboration (HRC), necessitating a deeper understanding of the factors influencing human decision making within this domain. This scoping review examines the breadth of research conducted on HRC, with a particular focus on identifying factors that affect human decision making during collaborative tasks and finding potential solutions to improve human decision making. We conducted a comprehensive search across databases including Scopus, IEEE Xplore and ACM Digital Library, employing a snowballing technique to ensure the inclusion of all pertinent studies, and adopting the PRISMA Extension for Scoping Reviews (PRISMA-ScR) for the reviewing process. Some of the important aspects were identified: (i) studies’ design and setting; (ii) types of human–robot interaction, types of cobots and types of tasks; (iii) factors related to human decision making; and (iv) types of user interfaces for human–robot interaction. Results indicate that cognitive workload and user interface are key in influencing decision making in HRC. Future research should consider social dynamics and psychological safety, use mixed methods for deeper insights and consider diverse cobots and tasks to expand decision-making studies. Emerging XR technologies offer the potential to enhance interaction and thus improve decision making, underscoring the need for intuitive communication and human-centred design.

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http://hdl.handle.net/10453/181875