Industry 5.0 emphasizes human-centered design in smart manufacturing environments, where Cognitive Digital Twins (CDTs) and Cognitive User Interfaces (CUIs) emerge as critical technologies for enhanced decision-making and system interaction. Despite sharing similar cognitive characteristics, CDTs and CUIs have been studied in isolation, which resulted in a fragmented landscape, limiting their integration into intelligent human-computer collaboration. This systematic literature review, guided by the PRISMA framework, investigates the integration opportunities between CDTs and CUIs to bridge this disciplinary gap. A comprehensive search in Scopus identified 227 papers, which were systematically filtered to 49 relevant studies for content analysis The review synthesizes a set of requirements essential for designing integrated CDT-CUI systems. Findings highlight that while CDTs rely on static interfaces, CUIs demonstrate advanced adaptability capabilities, including dynamic user interface adaptation through User Mentality Models and multimodal interaction support, significantly enhancing current rudimentary CDT interaction approaches.
Bridging Cognitive Digital Twins and Cognitive User Interfaces: A Systematic Literature Review
Cardamone M.;Elbasheer M.;Mirabelli G.;Padovano A.
;Sammarco C.;
2025-01-01
Abstract
Industry 5.0 emphasizes human-centered design in smart manufacturing environments, where Cognitive Digital Twins (CDTs) and Cognitive User Interfaces (CUIs) emerge as critical technologies for enhanced decision-making and system interaction. Despite sharing similar cognitive characteristics, CDTs and CUIs have been studied in isolation, which resulted in a fragmented landscape, limiting their integration into intelligent human-computer collaboration. This systematic literature review, guided by the PRISMA framework, investigates the integration opportunities between CDTs and CUIs to bridge this disciplinary gap. A comprehensive search in Scopus identified 227 papers, which were systematically filtered to 49 relevant studies for content analysis The review synthesizes a set of requirements essential for designing integrated CDT-CUI systems. Findings highlight that while CDTs rely on static interfaces, CUIs demonstrate advanced adaptability capabilities, including dynamic user interface adaptation through User Mentality Models and multimodal interaction support, significantly enhancing current rudimentary CDT interaction approaches.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
