Abstract
Industry is undergoing a digital transition that will change the design and setup of human-machine systems. One part of this change is increasing possibilities of workers to influence their work. In this paper, we present four components of the Factory2Fit project that contribute to this change by engaging workers: (1) knowledge sharing and collaboration via a discussion platform; (2) visualisation of information via augmented reality (AR) glasses; (3) participatory design of workplaces and tasks by means of a 3D simulation software programme, and (4) an on-site training tool utilising a training platform. The demonstrators were evaluated with workers to identify foreseen benefits, challenges and impact on their work. Most of the concepts seem to be well accepted and they have high potential to improve work well-being and work performance. The results of this study are encouraging, but long-term field studies with actual prototypes will be needed to evolve the concepts.
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EFFRA - European Factories of the Future Research Association: Factories 4.0 and Beyond: Recommendations for the work programme 18-19-20 of the FoF PPP under Horizon 2020 (2016)
Kaasinen, E., Liinasuo, M., Schmalfuß, F., Koskinen, H., Aromaa, S., Heikkilä, P., Honka, A., Mach, S., Malm, T.: A worker-centric design and evaluation framework for operator 4.0 solutions that support work well-being. Accepted paper to Human-Work Interaction Conference, Espoo, Finland (2018)
Acknowledgments
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 723277 (project Factory2Fit). This paper reflects only the authors’ view and the Commission is not responsible for any use that may be made of the information it contains. The authors are grateful to all researchers, concepts’ developers and company representatives who have contributed to and supported the work presented in this publication.
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Aromaa, S. et al. (2019). User Evaluation of Industry 4.0 Concepts for Worker Engagement. In: Ahram, T., Karwowski, W., Taiar, R. (eds) Human Systems Engineering and Design. IHSED 2018. Advances in Intelligent Systems and Computing, vol 876. Springer, Cham. https://doi.org/10.1007/978-3-030-02053-8_6
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DOI: https://doi.org/10.1007/978-3-030-02053-8_6
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