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The adoption of Augmented Reality (AR) is increasing to enhance Human-System Interaction (HSI) by creating immersive experiences that improve efficiency and safety in various industries. In industrial maintenance, traditional practices involve physical documentation and device interactions, which might disrupt the task, affect efficiency, and increase the cognitive load for the maintenance personnel. AR has the potential to support and enhance industrial maintenance processes in these aspects. Therefore, the purpose of this research is to study and explore how advanced technologies like Artificial Intelligence (AI), AR and speech processing can be integrated to support hands-free, real-time task logging and interaction in maintenance environments. This is done by developing a demonstrator for Microsoft HoloLens 2 using Unity, C#, Azure Cognitive Services, and Azure Functions, which enables speech-to-text transcription for hands-free maintenance support. Using Azure’s speech recognition, the demonstrator can achieve high transcription accuracy in an AR environment, facilitating natural interactions between users and the augmented environment. The study aims to explore the potential of AR to reduce cognitive load, streamline workflows, and improve safety by enhancing HSI for maintenance personnel in high-stakes environments.

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Human-Centric Maintenance Process Through Integration of AI, Speech, and AR

  • 会议论文

  • 发表日期：

    2026年

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  • Parul Khanna,
  • Ravdeep Kour,
  • Ramin Karim

摘要

The adoption of Augmented Reality (AR) is increasing to enhance Human-System Interaction (HSI) by creating immersive experiences that improve efficiency and safety in various industries. In industrial maintenance, traditional practices involve physical documentation and device interactions, which might disrupt the task, affect efficiency, and increase the cognitive load for the maintenance personnel. AR has the potential to support and enhance industrial maintenance processes in these aspects. Therefore, the purpose of this research is to study and explore how advanced technologies like Artificial Intelligence (AI), AR and speech processing can be integrated to support hands-free, real-time task logging and interaction in maintenance environments. This is done by developing a demonstrator for Microsoft HoloLens 2 using Unity, C#, Azure Cognitive Services, and Azure Functions, which enables speech-to-text transcription for hands-free maintenance support. Using Azure’s speech recognition, the demonstrator can achieve high transcription accuracy in an AR environment, facilitating natural interactions between users and the augmented environment. The study aims to explore the potential of AR to reduce cognitive load, streamline workflows, and improve safety by enhancing HSI for maintenance personnel in high-stakes environments.