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Achieving Interface and Environment Fidelity in the Virtual Basic Laparoscopic Surgical Trainer.

Amine Chellali1,2, Helena Mentis2,3, Amie Miller2,4

  • 1Department of Computer Engineering, IBISC Laboratory, University of Evry, Evry, France.

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|November 6, 2018
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Summary
This summary is machine-generated.

Developing virtual reality laparoscopic surgical trainers requires expert feedback to ensure high fidelity. Iterative design and expert evaluation improved the Virtual Basic Laparoscopic Surgical Trainer (VBLaST), matching standard training performance.

Keywords:
Interaction designIterative designSimulator fidelityVirtual reality (VR)surgical training

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Area of Science:

  • Surgical Education
  • Medical Simulation
  • Human-Computer Interaction

Background:

  • Virtual reality (VR) trainers offer risk-free, objective training for laparoscopic surgery.
  • Designing effective user interfaces for VR surgical trainers remains a significant challenge.
  • Fidelity in virtual environments is crucial for skill acquisition in surgical training.

Purpose of the Study:

  • To examine a process for achieving interface and environment fidelity in VR laparoscopic surgical trainer development.
  • To evaluate the effectiveness of the Virtual Basic Laparoscopic Surgical Trainer (VBLaST) through iterative design.
  • To compare VBLaST performance and fidelity against the established FLS box-trainer standard.

Main Methods:

  • Two design iterations of the VBLaST were developed and evaluated.
  • 42 subjects performed the peg transfer task on VBLaST and FLS box-trainer.
  • Performance was assessed using the FLS scoring method; fidelity was evaluated via questionnaires and expert focus groups.

Main Results:

  • The initial VBLaST version showed significantly lower performance than the FLS box-trainer.
  • Expert feedback identified issues with visual, haptic, and interface fidelity in the early prototype.
  • The second-generation VBLaST demonstrated significantly improved performance, comparable to the FLS box-trainer, with higher fidelity ratings.

Conclusions:

  • Iterative design incorporating expert-led, hands-on evaluation is vital for achieving fidelity in VR surgical trainers.
  • This methodology enhances the value of VR systems as alternatives to physical trainers for laparoscopic surgery.
  • Recommendations are provided for using expert evaluation to optimize VR laparoscopic surgical trainer design.