Innovation Ecosystems for Operator 5.0 in Mobile Machinery: Applicability of Sociotechnical Transitions and a Research Agenda
Sadovskii, Grigorii; Ojanen, Ville; Xin, Yan; Hannola, Lea; Heikkinen, Veli-Pekka (2025-02-09)
Post-print / Final draft
Sadovskii, Grigorii
Ojanen, Ville
Xin, Yan
Hannola, Lea
Heikkinen, Veli-Pekka
09.02.2025
IEEE
School of Engineering Science
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© 2026 IEEE
© 2026 IEEE
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2026021713857
https://urn.fi/URN:NBN:fi-fe2026021713857
Tiivistelmä
This study evaluates how sociotechnical transition frameworks can guide the adoption of human–machine interfaces and haptics in mobile machinery under the Operator 5.0 paradigm. We combine a state-of-the-art review with transparent snowballing, project-based expert evaluations, and stakeholder workshops conducted in 2025. A multi-system event-sequence analysis is used to connect ecosystem roles, platform governance, and standardization dynamics with firm-level technology related decisions. The review and expert synthesis reveal a fragmented landscape across sensing, controls, safety, and user experience. We identify four cross-cutting priorities for near-term progress: health- and state-informed assistance that leverages existing machine signals; digital-twin-in-the-loop validation to gate field trials; explainable shared control and clear authority handovers; and operator-centric metrics (workload, trust, safety-envelope adherence) as first-class requirements alongside productivity and energy. The study consolidates a taxonomy of human-machine interface and haptics for mobile machinery, maps ecosystem roles, and sets out a research agenda to bridge the lab-to-field gap and accelerate safe, human-centric deployment consistent with Operator 5.0.
Lähdeviite
G. Sadovskii, Y. Xin, V. Ojanen, L. Hannola and V. -P. Heikkinen, "Innovation Ecosystems for Operator 5.0 in Mobile Machinery: Applicability of Sociotechnical Transitions and a Research Agenda*," 2025 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD), Glasgow, United Kingdom, 2025, pp. 1-6, doi: 10.1109/ICTMOD66732.2025.11371991.
Alkuperäinen verkko-osoite
https://ieeexplore.ieee.org/document/11371991Kokoelmat
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