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Adaptive Augmented Reality User Interfaces for Real-Time Defect Visualization and On-the-Fly Reconfiguration for

George Margetis1, Katerina Valakou1, Stavroula Ntoa1

  • 1Institute of Computer Science, Foundation for Research and Technology-Hellas (FORTH), GR-70013 Heraklion, Crete, Greece.

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Summary
This summary is machine-generated.

This study introduces a human-centric Augmented Reality system to empower manufacturing operators. It enhances defect detection and production line reconfiguration, improving operational outcomes.

Keywords:
Industry 4.0adaptive user interfacesaugmented realitycontext-awarenessdefect detectiongesture-based interactionsmart manufacturing

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Area of Science:

  • Industrial Engineering
  • Human-Computer Interaction
  • Manufacturing Systems

Background:

  • Zero-defect manufacturing aims to enhance product quality but often overlooks the human element.
  • Integrating human operators effectively is crucial for successful zero-defect strategies.
  • Existing approaches may not adequately support shop floor operators in real-time defect management.

Purpose of the Study:

  • To introduce a human-centric Augmented Reality (AR) system for shop floor operators.
  • To assist operators in defect detection and immediate production line reconfiguration.
  • To enhance operator engagement and situational awareness in manufacturing processes.

Main Methods:

  • Development of an adaptive AR application with context-aware interfaces.
  • Leveraging operator expertise and task context for dynamic visual component generation.
  • Evaluation through cognitive walkthroughs with experts and user-based testing with 30 operators across three production lines.

Main Results:

  • The AR system demonstrated intuitiveness and user-friendliness.
  • Facilitated enhanced operator engagement and situational awareness.
  • Showcased improved operational outcomes and attentiveness in manufacturing tasks.

Conclusions:

  • The proposed human-centric AR system effectively supports shop floor operators in zero-defect manufacturing.
  • Adaptive interfaces and context-aware information are key to successful human-machine collaboration.
  • The system offers a versatile and generalizable approach to improving manufacturing efficiency and quality.