In human-robot collaboration (HRC), operators work side by side with collaborative robots (cobots), a new type of machines able to function safely on tasks shared with humans. Despite the increasing presence of cobots in factories, the quality of experience associated by workers with HRC is an underexplored topic. This review is focused on the mental workload (MWL) reported by operators interacting with cobots, its major sources, and the potential solutions to optimize it during HRC. Out of 165 papers identified, 23 were selected as specifically devoted to the exploration of workers’ MWL in a HRC activity. Cobot motion, predictability, task organization and communication patterns emerged as the major factors contributing to operators’ MWL during HRC. Endowing cobots with the capacity to meet both task demands and human needs through modulation of motion rhythm, flexible physical interaction, and more efficient communication patterns may contribute to mitigating workers’ MWL.

Mental Workload and Human-Robot Interaction in Collaborative Tasks: A Scoping Review / C. Carissoli, L. Negri, M. Bassi, F.A. Storm, A. Delle Fave. - In: INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION. - ISSN 1532-7590. - (2023 Sep), pp. 1-20. [Epub ahead of print] [10.1080/10447318.2023.2254639]

Mental Workload and Human-Robot Interaction in Collaborative Tasks: A Scoping Review

L. Negri
Secondo
;
M. Bassi;A. Delle Fave
Ultimo
2023

Abstract

In human-robot collaboration (HRC), operators work side by side with collaborative robots (cobots), a new type of machines able to function safely on tasks shared with humans. Despite the increasing presence of cobots in factories, the quality of experience associated by workers with HRC is an underexplored topic. This review is focused on the mental workload (MWL) reported by operators interacting with cobots, its major sources, and the potential solutions to optimize it during HRC. Out of 165 papers identified, 23 were selected as specifically devoted to the exploration of workers’ MWL in a HRC activity. Cobot motion, predictability, task organization and communication patterns emerged as the major factors contributing to operators’ MWL during HRC. Endowing cobots with the capacity to meet both task demands and human needs through modulation of motion rhythm, flexible physical interaction, and more efficient communication patterns may contribute to mitigating workers’ MWL.
mental workload; stress; collaborative robots; cobots; human-robot interaction; human-robot collaboration; industrial settings
Settore M-PSI/01 - Psicologia Generale
   Mental Health promotion of cobot Workers in Industry 4.0 (MindBot)
   MindBot
   EUROPEAN COMMISSION
   H2020
   847926
set-2023
20-set-2023
Article (author)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/1004250
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