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arXiv · 2503.05649

Enhancing User Performance and Human Factors through Visual Guidance in AR Assembly Tasks

Leon Pietschmann·Michel Schimpf·Zhu-Tian Chen·Hanspeter Pfister·Thomas Bohné
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Abstract

This study investigates the influence of Visual Guidance (VG) on user performance and human factors within Augmented Reality (AR) via a between-subjects experiment. VG is a crucial component in AR applications, serving as a bridge between digital information and real-world interactions. Unlike prior research, which often produced inconsistent outcomes, our study focuses on varying types of supportive visualisations rather than interaction methods. Our findings reveal a 31% reduction in task completion time, offset by a significant rise in errors, highlighting a compelling trade-off between speed and accuracy. Furthermore, we assess the detrimental effects of occlusion as part of our experimental design. In addition to examining other variables such as cognitive load, motivation, and usability, we identify specific directions and offer actionable insights for future research. Overall, our results underscore the promise of VG for enhancing user performance in AR, while emphasizing the importance of further investigating the underlying human factors.

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Leon Pietschmann, Michel Schimpf, Zhu-Tian Chen, Hanspeter Pfister, Thomas Bohné. 2025-03-07. Enhancing User Performance and Human Factors through Visual Guidance in AR Assembly Tasks. https://doi.org/10.1145/3706599.3720094

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