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This paper presents a framework for adapting human-computer interaction for fault detection and diagnosis systems, aligning with Industry 5.0 principles. The proposed solution integrates user profiles, cognitive states, physical capacities, and real-time system data to enable context-aware and user-centered interfaces. Proof of concept presents the performance of the system in four use cases: visualization of historical events, performance metrics adjustment, maintenance dashboards for critical faults, and real-time alerts. Through these scenarios, an adaptive HCI can demonstrate potential improvements in usability, cognitive load, and decision-making. This is the first step towards harmonizing human-centric design and intelligent systems in intelligent manufacturing environments.

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Integrating Adaptive Human Computer Interaction in Fault Detection and Diagnosis Systems: A Human-Centric Approach for Industry 5.0

  • 会议论文

  • 发表日期：

    2025年

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  • Rania Hamdani,
  • Inès Chihi

摘要

This paper presents a framework for adapting human-computer interaction for fault detection and diagnosis systems, aligning with Industry 5.0 principles. The proposed solution integrates user profiles, cognitive states, physical capacities, and real-time system data to enable context-aware and user-centered interfaces. Proof of concept presents the performance of the system in four use cases: visualization of historical events, performance metrics adjustment, maintenance dashboards for critical faults, and real-time alerts. Through these scenarios, an adaptive HCI can demonstrate potential improvements in usability, cognitive load, and decision-making. This is the first step towards harmonizing human-centric design and intelligent systems in intelligent manufacturing environments.