Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/145168
Title: Assistive device selection for operators with disabilities in industry 5.0 manufacturing : a Kansei engineering approach
Authors: Bonello, Amberlynn
Francalanza, Emmanuel
Refalo, Paul
Gauci, Maria Victoria
Keywords: Self-help devices for people with disabilities
Barrier-free design
People with disabilities
Human engineering
Manufacturing processes -- Technological innovations
Issue Date: 2026
Publisher: Elsevier B.V.
Citation: Bonello, A., Francalanza, E., Refalo, P., & Gauci, M. V. (2026). Assistive device selection for operators with disabilities in Industry 5.0 manufacturing: A Kansei engineering approach. Procedia Computer Science, 277, 637–646
Abstract: Human-centricity, a cornerstone of Industry 5.0, calls for accessible manufacturing environments. Inclusive workstations comprise assistive devices which facilitate information reception, task execution and inspection for operators with various disabilities. Nonetheless, state-of-the-art literature fails to acknowledge the negative impacts of such assistive devices on operators with disability. Additionally, whilst one assistive device can be used to enhance physical accessibility, it could cause adverse effects on one’s cognitive or sensory abilities. This study therefore addresses these gaps by adopting Kansei Engineering to capture the emotions and perceptions of 48 persons with disabilities towards assistive devices in manufacturing workstations. Both positive and negative emotions and perceptions are elicited, addressing another gap. A unique physical, cognitive and sensory accessibility index for eight assistive devices was created, with each index then employed in a Pareto optimisation approach which maximises accessibility whilst reducing the number of devices. The most optimal combination (achieving an 88% total accessibility score) comprised a microphone, a keyboard and mouse, a touch screen, projected instructions and a monitor. This study has contributed an innovative approach towards guiding which and how assistive devices can be chosen carefully to address diverse abilities, ensuring a more inclusive manufacturing shopfloor in the age of Industry 5.0.
URI: https://www.um.edu.mt/library/oar/handle/123456789/145168
ISSN: 18770509
Appears in Collections:Scholarly Works - FacEngIME

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