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

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.