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This paper is in the following e-collection/theme issue:

Digital Health Reviews (1829) Human Factors and Usability Case Studies (1071) Robots in Healthcare (129) Quantified Self and Wellness (125)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75658, first published .
Understanding Workers’ Well-Being and Cognitive Load in Human-Cobot Collaboration: Systematic Review

Understanding Workers’ Well-Being and Cognitive Load in Human-Cobot Collaboration: Systematic Review

Understanding Workers’ Well-Being and Cognitive Load in Human-Cobot Collaboration: Systematic Review

Authors of this article:

Giulia Bassi1, 2 Author Orcid Image ;   Valeria Orso2, 3 Author Orcid Image ;   Silvia Salcuni1 Author Orcid Image ;   Luciano Gamberini2, 3 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

Journals

  1. Bassi G, Orso V, Salcuni S, Gamberini L. Exploring Subjective Well-Being in Human-Machine Interaction: Protocol for a Mixed Methods, Cross-Sectional Analysis in Manufacturing 5.0. JMIR Research Protocols 2025;14:e73896 View
  2. Faria E, Pinto A, Oliveira S, Menezes P. Gaze and Movement Design in Collaborative Robots: Sociodemographic Predictors of Human Acceptance and Trust. International Journal of Human–Computer Interaction 2026:1 View
  3. Pyae A, Saarinen J, Haavisto J, Virta J, Gröhn M, Luimula M. Usability and User Experience in an Industrial Metaverse: A Mixed-Methods Study of the Necoverse Point Cloud Inspection System for Shipbuilding. Future Internet 2026;18(3):160 View

Conference Proceedings

  1. Obata M, Iwanaga Y, Tsuchinaga M, Mizutani A, Downes D, Lee S. Companion Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction. Towards the Development of a Robot for Well-Being: Applying the Motivation, Engagement, and Thriving in User Experience (METUX) Model View