Quantifying the Impact of XR Visual Guidance on User Performance Using a Large-Scale Virtual Assembly Experiment

Leon Pietschmann, Paul Zurcher, Erik Bubik, Zhutian Chen, Hanspeter Pfister, Thomas Bohne

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The combination of Visual Guidance and Extended Reality (XR) technology holds the potential to greatly improve the performance of human workforces in numerous areas, particularly industrial environments. Focusing on virtual assembly tasks and making use of different forms of supportive visualisations, this study investigates the potential of XR Visual Guidance. Set in a web-based immersive environment, our results draw from a heterogeneous pool of 199 participants. This research is designed to significantly differ from previous exploratory studies, which yielded conflicting results on user performance and associated human factors. Our results clearly show the advantages of XR Visual Guidance based on an over 50% reduction in task completion times and mistakes made; this may further be enhanced and refined using specific frameworks and other forms of visualisations/Visual Guidance. Discussing the role of other factors, such as cognitive load, motivation, and usability, this paper also seeks to provide concrete avenues for future research and practical takeaways for practitioners.

Original languageEnglish (US)
Title of host publicationProceedings - 2023 IEEE Visualization Conference - Short Papers, VIS 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages211-215
Number of pages5
ISBN (Electronic)9798350325577
DOIs
StatePublished - 2023
Externally publishedYes
Event2023 IEEE Visualization Conference, VIS 2023 - Hybrid, Melbourne, Australia
Duration: Oct 22 2023Oct 27 2023

Publication series

NameProceedings - 2023 IEEE Visualization Conference - Short Papers, VIS 2023

Conference

Conference2023 IEEE Visualization Conference, VIS 2023
Country/TerritoryAustralia
CityHybrid, Melbourne
Period10/22/2310/27/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • Empirical studies in visualization
  • HCI
  • Human computer interaction (HCI)
  • Interaction design
  • interaction design
  • Visualization
  • [Human-centered computing]:

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