Adaptive human-computer interaction for industry 5.0: A novel concept, with comprehensive review and empirical validation

Abstract

This paper explores the domain of adaptive Human-Computer Interaction (HCI) within the emerging context of Industry 5.0, which marks the transition from Industry 4.0 by emphasizing human-centric approaches and collaboration between humans and intelligent systems. It focuses on enhancing user experience while maintaining high security standards. The complexity of intelligent industrial environments introduces various challenges, including vulnerabilities caused by faults that can propagate across multiple layers and heterogeneous systems. Predictive maintenance becomes more complicated due to the need for advanced monitoring across interconnected systems, and the dynamic nature of these environments demands seamless adaptation. This is essential for fostering harmony between human operators and intelligent systems in real-time. However, the increasing complexity of these environments reveals the limitations of the current HCI models, making adaptability a basic requirement. This paper carries a complete 141-paper review regarding research on HCI along with a detailed exposition of the core architecture, enabling technologies, and real-world application examples. Furthermore, it presents an innovative conceptual model for implementing an HCI system that dynamically adapts to environmental changes, user behavior, diverse user profiles, and varying accessibility needs, specifically within the context of fault detection and diagnosis systems. The proposed approach has been rigorously validated through empirical studies, demonstrating its effectiveness and practical applicability. To improve resiliency and efficiency in such a smart industrial system as is vulnerable, the interface would adapt itself to user behavior and diversity. It addresses the challenges that arise during this dynamic and complex environment that would ensure a secure and seamless interaction.