Systematic Review of Augmented Reality Training Systems

Area of Science:

• Technology
• Education
• Human-Computer Interaction

Background:

• Augmented Reality (AR) has advanced, enabling effective training systems in various sectors.
• The specific value and cross-field differences of AR in training remain unclear from existing literature.

Purpose of the Study:

• To review and analyze augmented reality training systems (ARTS) to understand their intrinsic value and application across fields.
• To identify trends in training methods, evaluations, and strategies employed by current ARTS.

Main Methods:

• A systematic review of 64 research papers on ARTS from digital libraries like IEEE Xplore.
• Categorization of papers by training method and identification of evaluation validity.
• Narrative synthesis of AR implementations, training strategies, and evaluation types.

Main Results:

• Identified trends in training methods and evaluations specific to ARTS in medical, rehabilitation, and industrial fields.
• Detailed the diverse implementations of AR across different training methods.
• Described various evaluation types for current ARTS and analyzed prevailing training strategies.

Conclusions:

• Insights from the review can inform the design of future ARTS, suggesting standards for training strategies.
• Recommendations are provided for the implementation and evaluation of novel ARTS to maximize their effectiveness.