Exploring Mental Workload Across Different Levels of Immersion: Augmented Reality for Assembly Training within the Industrial Metaverse

Philippe Jacquemin, Miriam Gräf, Maren F. Mehler, Danilo C. Walenta, Patrick Hendriks and Peter Buxmann

Publications of Darmstadt Technical University, Institute for Business Studies (BWL) from Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL)

Abstract: Recently, the metaverse has gained attention as the next evolution of the internet by merging the real and virtual world, with the potential to transform work, business, and social interactions. Even though immersive technologies for the metaverse, including augmented and virtual reality, offer great potential for collaboration, training, or simulation, there are indications that this could be at the expense of mental effort. Therefore, our study examines the impact of the immersion level on mental workload and performance. We conducted a within-subject design experiment with 30 participants who engaged in a training task across different environments (real world, computer, and metaverse). Our findings indicate no significant difference in mental workload. This suggests that the metaverse can serve as a viable, cost-effective training environment, particularly for complex and high-risk activities. These results highlight the potential of metaverse in work and especially industrial applications, providing new avenues for training and process optimization.

Date: 2025-01
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