Skills learning in robot-assisted surgery is benefited by task-specific augmented feedback

Area of Science:

• Robotics
• Surgical Training
• Human-Computer Interaction

Background:

• Augmented visual feedback can enhance robot-assisted surgery (RAS) training.
• The effectiveness of task-specific feedback in RAS training remains unclear.

Purpose of the Study:

• To investigate the impact of task-specific augmented visual feedback on novice robot-assisted surgery skills.
• To compare the efficacy of different feedback types (relative phase, speed, grip force, video) across varying task complexities.

Main Methods:

• Twenty-two novices trained on bimanual carrying (simple), needle passing (intermediate), and suture tying (complex) tasks using the da Vinci Surgical System.
• Participants were assigned to one of four feedback groups: relative phase, speed, grip force, or video feedback.
• Performance was assessed using metrics like time to task completion, distance traveled, speed, curvature, relative phase, and grip force.

Main Results:

• Relative phase feedback enhanced temporal performance in complex suture tying tasks.
• Speed feedback significantly improved simple bimanual carrying task performance, with a lesser effect on complex tasks.
• Grip force feedback led to greater improvements in time to completion and curvature for complex tasks.

Conclusions:

• Augmented feedback tailored to specific robotic surgery tasks benefits skill acquisition.
• Relative phase and grip force feedback show particular promise for training complex surgical procedures.