The increasing economic pressure on companies necessitates efficiency improvements, including enhanced training for work instructions. Augmented Reality (AR) offers a promising approach, with numerous studies exploring its applications in work instruction training. Rapid advancements in software and hardware are expanding possibilities while addressing the limitations of earlier systems. This research utilized the latest AR systems to evaluate their effectiveness in delivering work instructions. An experiment was conducted to gather empirical data, focusing on throughput time, error rates, and employees’ cognitive load. The test persons had to execute a workflow consisting of six steps. In the first run, an AR based work instruction was provided for training. In run two, the test persons had to execute the steps without work instructions. Given the technical nature of AR-based instructions, the study also examined participants’ technic affinity. The results showed varying correlations between cognitive load, throughput time, and error rates across the two experimental runs. A correlation between cognitive load and technic affinity was not revealed.

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Using Augmented Reality for Work Instructions: The Impact on Throughput Time, Error Rate and Cognitive Load

  • Lukas Platter,
  • Reinhard Bernsteiner,
  • Michael Kohlegger,
  • Christian Ploder

摘要

The increasing economic pressure on companies necessitates efficiency improvements, including enhanced training for work instructions. Augmented Reality (AR) offers a promising approach, with numerous studies exploring its applications in work instruction training. Rapid advancements in software and hardware are expanding possibilities while addressing the limitations of earlier systems. This research utilized the latest AR systems to evaluate their effectiveness in delivering work instructions. An experiment was conducted to gather empirical data, focusing on throughput time, error rates, and employees’ cognitive load. The test persons had to execute a workflow consisting of six steps. In the first run, an AR based work instruction was provided for training. In run two, the test persons had to execute the steps without work instructions. Given the technical nature of AR-based instructions, the study also examined participants’ technic affinity. The results showed varying correlations between cognitive load, throughput time, and error rates across the two experimental runs. A correlation between cognitive load and technic affinity was not revealed.