Developing Decision-Making Skills Using Immersive VR

Abstract

The goal of this project was to investigate how decision-making skills in an immersive VR system could be improved using real-time feedback. We used a temporal bone surgical simulator as the teaching tool to train medical students on how to perform a cortical mastoidectomy. We used Random Forest based data mining models to assess the quality of the surgical technique and deliver timely feedback on how it can be improved. We performed an experiment with 24 medical students twelve of whom were given real-time feedback on surgical technique, and the remainder were not given any feedback. The test results suggest that the feedback delivered by the system not only had a high rate of accuracy, but was also effective in improving the surgical technique of medical students. Also, the responses of the participants to interview questions show that the system was highly usable and useful in learning surgical technique.

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Document Details

Document Type
Technical Report
Publication Date
Jun 14, 2013
Accession Number
ADA597431

Entities

People

  • Gregor Kennedy
  • James Bailey
  • Stephen K. O’Leary

Organizations

  • University of Melbourne

Tags

DTIC Thesaurus Topics

  • Accuracy
  • Anatomy
  • Closed Loop Systems
  • Computers
  • Drills
  • Ear
  • Education
  • Feedback
  • Health Services
  • Simulations
  • Simulators
  • Skull
  • Students
  • Surgery
  • Training
  • Virtual Reality

Fields of Study

  • Medicine

Readers

  • Neural Network Machine Learning.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.
  • Trauma Surgery or Emergency Medicine.

Technology Areas

  • AI & ML