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Optimizing Performance and Satisfaction in Matching and Movement Tasks in Virtual Reality with Interventions Using

Andreas Bueckle1, Kilian Buehling2, Patrick C Shih3

  • 1Department of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, United States.

Frontiers in Virtual Reality
|June 3, 2026
PubMed
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This summary is machine-generated.

Virtual reality (VR) training can be improved with data visualizations. Visualizing performance data in VR helped users complete tasks faster and more accurately, especially in navigation scenarios.

Area of Science:

  • Human-Computer Interaction
  • Virtual Reality Training
  • Data Visualization

Background:

  • Virtual reality (VR) is increasingly used for training and instruction.
  • Data visualization can help users identify performance improvement strategies within VR environments.

Purpose of the Study:

  • To evaluate the impact of data visualization during a "Reflective phase" on user performance in VR training tasks.
  • To assess the effectiveness of data visualization across different VR setups (2D Desktop, VR Tabletop, VR Standup).

Main Methods:

  • Two studies (RUI VR and Luddy VR) involving 152 subjects divided into experiment and control cohorts.
  • Experiment cohorts received data visualizations of their performance after an initial task set.
  • Tasks included 3D object manipulation (RUI VR) and virtual building navigation (Luddy VR).
Keywords:
data visualizationhuman-computer interactioninformation visualizationinteraction techniquenavigationperformance improvementuser studyvirtual reality

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Main Results:

  • Luddy VR experiment users showed significantly faster completion times and higher questionnaire scores.
  • RUI VR experiment users in the 2D Desktop setup demonstrated significantly higher rotation accuracy and satisfaction.
  • No significant performance differences were found for RUI VR users in VR setups.

Conclusions:

  • Data visualization, particularly during a "Reflective phase," can enhance user performance in specific VR training scenarios.
  • The effectiveness of data visualization may vary depending on the VR setup and task type.
  • Further adjustments to the "Reflective phase" are suggested to optimize performance gains in VR.