Novel virtual reality based training system for fine motor skills: Towards developing a robotic surgery training...

Area of Science:

• Robotics
• Medical Simulation
• Human-Computer Interaction

Background:

• Surgical robot training is increasingly integrated into medical curricula.
• Developing effective methods for training fine-motor skills in robot-assisted surgery is crucial.
• Virtual reality (VR) offers a promising platform for surgical skill acquisition and objective performance assessment.

Purpose of the Study:

• To introduce a novel virtual reality (VR) method for training fine-motor skills in robot-assisted surgery.
• To evaluate the impact of vibrotactile feedback (VTFB) on surgical training performance.
• To establish objective performance metrics for surgical skill assessment in VR.

Main Methods:

• Utilized a VR environment to conduct the Microscopic Selection Task (MST) at varying difficulty levels.
• Incorporated vibrotactile feedback (VTFB) within the VR simulation.
• Quantified trainee performance based on speed, precision, and accuracy using established human-computer interaction paradigms.

Main Results:

• The Microscopic Selection Task (MST) performed with vibrotactile feedback (VTFB) demonstrated statistically significant improvements in all key performance metrics.
• Participants training with VTFB completed the MST faster and with greater precision and accuracy compared to those without VTFB.
• Objective quantification of performance metrics revealed the efficacy of VTFB in enhancing surgical skill acquisition.

Conclusions:

• The integration of vibrotactile feedback (VTFB) into VR-based training for robot-assisted surgery can enhance performance outcomes.
• VTFB, coupled with objective performance metrics, provides a valuable tool for surgical training curricula.
• This approach holds potential for improving real-world robotic surgery performance through enhanced training methodologies.