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Virtual reality has gained popularity as an effective training platform in many fields including surgery. However, it has been shown that the availability of a simulator alone is not sufficient to promote practice. Therefore, simulator-based surgical curricula need to be developed and integrated into existing surgical training programs. As practice variation is an important aspect of a surgical curriculum, surgical simulators should support practice on multiple specimens. Furthermore, to ensure that surgical skills are acquired, and to support self-guided learning, automated feedback on performance needs to be provided during practice. Automated feedback is typically provided by comparing real-time performance with expert models generated from pre-collected data. Since collecting data on multiple specimens for the purpose of developing feedback models is costly and time-consuming, methods of transferring feedback from one specimen to another should be investigated. In this paper, we discuss a simple method of feedback transfer between specimens in virtual reality temporal bone surgery and validate the accuracy and effectiveness of the transfer through a user study.

Transfer of Automated Performance Feedback Models to Different Specimens in Virtual Reality Temporal Bone Surgery