Industry 5.0 calls for human‑centric, resilient, and sustainability‑driven production ecosystems where people and intelligent technologies collaborate to create value. Cognitive Assistance Systems (CAS), intended to support operators by guiding their actions and decisions, are central to this vision. Yet, their design and evaluation remain fragmented. This paper introduces a multidimensional framework that maps CAS onto five analysis dimensions: Cognitive Functions, Autonomy, Adaptivity, Interaction Modality, and Portability. Each dimension is operationalised through explicit rating scales, enabling profiling, benchmarking, and design trade‑off analysis across heterogeneous solutions. An experiment in an assembly process illustrates the framework’s practical application and provides a test of its ability to discriminate among different CAS configurations.
A multidimensional framework for modelling and assessing cognitive assistance systems for industry 5.0 / Bartolomei, Mirco; Barravecchia, Federico; Mastrogiacomo, Luca; Gatta, Davide Maria; Franceschini, Fiorenzo. - In: INTERNATIONAL JOURNAL, ADVANCED MANUFACTURING TECHNOLOGY. - ISSN 0268-3768. - STAMPA. - 142:5-6(2026), pp. 3053-3073. [10.1007/s00170-025-17203-1]
A multidimensional framework for modelling and assessing cognitive assistance systems for industry 5.0
Bartolomei, Mirco;Barravecchia, Federico;Mastrogiacomo, Luca;Franceschini, Fiorenzo
2026
Abstract
Industry 5.0 calls for human‑centric, resilient, and sustainability‑driven production ecosystems where people and intelligent technologies collaborate to create value. Cognitive Assistance Systems (CAS), intended to support operators by guiding their actions and decisions, are central to this vision. Yet, their design and evaluation remain fragmented. This paper introduces a multidimensional framework that maps CAS onto five analysis dimensions: Cognitive Functions, Autonomy, Adaptivity, Interaction Modality, and Portability. Each dimension is operationalised through explicit rating scales, enabling profiling, benchmarking, and design trade‑off analysis across heterogeneous solutions. An experiment in an assembly process illustrates the framework’s practical application and provides a test of its ability to discriminate among different CAS configurations.| File | Dimensione | Formato | |
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IJAMT Framework for Cogn. Assist. Syst_(2025-11-15) R1 No Yellow.pdf
embargo fino al 07/01/2027
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IJAMT v.142, n.5-6, 2026, pp.3053-3073 Modeling CAS Sustems fo Industry 5.0 (MB FB LM DMG FF).pdf
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https://hdl.handle.net/11583/3007106
