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Training in virtual and real environments

R V Kenyon1, M B Afenya

  • 1Department of Electrical Engineering and Computer Science, University of Illinois at Chicago 60607, USA.

Annals of Biomedical Engineering
|July 1, 1995
PubMed
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Virtual reality training can improve real-world task performance. Some virtual-to-real transfer of training was observed in a pick-and-place task, though real-to-virtual transfer was not significant.

Area of Science:

  • Human-Computer Interaction
  • Cognitive Psychology
  • Robotics

Background:

  • Understanding the transfer of training between virtual reality (VR) and real-world (RW) environments is crucial for effective skill acquisition.
  • Previous research has explored this transfer, but findings vary depending on the task and methodology.
  • Investigating the directionality of transfer (VR to RW vs. RW to VR) is essential for optimizing training protocols.

Purpose of the Study:

  • To examine the transfer of training in a pick-and-place task between virtual and real environments.
  • To compare the performance of subjects trained in one environment and tested in the other against control groups.
  • To determine if training in VR can enhance performance in RW tasks and vice versa.

Main Methods:

Related Experiment Videos

  • A pick-and-place task involving moving color-coded cans between locations was used.
  • Two difficulty levels were implemented based on disk color arrangement (aligned vs. random).
  • Subjects trained in VR were tested in RW, and subjects trained in RW were tested in VR, with performance compared to untrained controls.

    • Main Results:

    • Virtual reality-trained subjects showed significant, albeit small, performance improvements in the real-world task.
    • Performance differences between VR-trained and untrained RW groups diminished over time.
    • No significant performance improvement was observed for real-world-trained subjects in the virtual environment.

    Conclusions:

    • Transfer of training from virtual reality to the real world is possible under specific task conditions.
    • The effectiveness of transfer may be direction-dependent, with VR to RW showing more promise than RW to VR.
    • These findings have implications for designing VR-based training programs for real-world applications.