Naslov
Physical and mental well-being of cobot workers: A scoping review using the Software-Hardware- Environment-Liveware-Liveware-Organization model

Autori
Storm, A. ; Chiappini, Mattia ; Dei, Carla ; CaterinaPiazza, Caterina ; André, Elisabeth ; Reißner, Nadine ; Brdar, Ingrid ; Delle Fave, Antonella ; Gebhard, Patrick ; Malosio, Matteo ; Fernández, Alberto Peña ; Štefok, Snježana ; Reni, Gianluigi

Izvornik
Human factors and ergonomics in manufacturing (1090-8471) 32 (2022), 5; 419-435

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, pregledni rad, znanstveni

Ključne riječi
Cobots ; Human Robot Collaboration ; SHELLO model ; Health and Well-being ; Sociotechnical systems
(Cobots ; Human Robot Collaboration ; SHELLO model ; Health and Well-being ; Sociotechnical system)

Sažetak
The aim of the present work was to investigate the current state of the art concerning factors affecting physical and mental health and well- being of workers using collaborative robots (cobots) in manufacturing industries. A scoping review was conducted following PRISMA guidelines to identify studies aimed at investigating potential factors affecting workers’ physical and mental health and well-being during human-robot collaboration. Each identified factor was classified using the SHELLO (Software-Hardware- Environment-Liveware-Liveware-Organization) conceptual model. Strengths and limitations of such an approach were outlined. A total of 53 papers were included in the scoping review. In 35 papers at least one risk factor referred to the SHELLO Liveware-Hardware interaction, followed by factors concerning Liveware-Software (16 papers), Liveware-Liveware (11 papers), the Liveware intrinsic factor (10 papers), Liveware- Organization (8 papers), and Liveware-Environment (8 papers). Most of the factors classified within the L-H interaction related with physical well- being, while factors classified in the remaining SHELLO interactions were mainly associated with mental and psychological well-being. The scoping review provided a structured overview of factors affecting physical and mental health and well- being of cobot workers. The SHELLO model proved to effectively highlight human factors relevant for the design of future generations of cobots and can be used to provide a systemic approach to investigate human factors in other complex sociotechnical systems. To the best of our knowledge, this is the first time the model is applied in the field of human-cobot interaction.

Izvorni jezik
Engleski

Znanstvena područja
Interdisciplinarne tehničke znanosti, Psihologija

POVEZANOST RADA