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 in questo prodotto:
File Dimensione Formato  
IJAMT Framework for Cogn. Assist. Syst_(2025-11-15) R1 No Yellow.pdf

embargo fino al 07/01/2027

Tipologia: 2. Post-print / Author's Accepted Manuscript
Licenza: Pubblico - Tutti i diritti riservati
Dimensione 2.05 MB
Formato Adobe PDF
2.05 MB Adobe PDF   Visualizza/Apri   Richiedi una copia
IJAMT v.142, n.5-6, 2026, pp.3053-3073 Modeling CAS Sustems fo Industry 5.0 (MB FB LM DMG FF).pdf

accesso riservato

Tipologia: 2a Post-print versione editoriale / Version of Record
Licenza: Non Pubblico - Accesso privato/ristretto
Dimensione 3.08 MB
Formato Adobe PDF
3.08 MB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/3007106