Toward Optimal Learning of the Gesture in Laparoscopic Surgery: Methodology and Performance

Area of Science:

• Medical Education
• Surgical Training
• Human-Computer Interaction

Background:

• Traditional surgical education faces time constraints and relies on high-pressure, hierarchical learning.
• Learner emotions, including epistemic confusion, significantly influence learning effectiveness.
• Epistemic confusion arises from a mismatch between existing knowledge and new learning tasks.

Purpose of the Study:

• To evaluate the effect of confusion on surgical procedure learning within an augmented reality (AR) environment.
• To investigate if feedback and disruptive events modify the impact of confusion on learning.
• To explore potential new surgical teaching protocols leveraging emotional states.

Main Methods:

• Recruited 15 medical externs to perform a suturing task on a simulator.
• Utilized a Motion Capture (MoCap) system to measure performance.
• Assessed the influence of confusion, feedback, and disruptive events on learning outcomes.

Main Results:

• Statistical analyses were inconclusive due to limitations in sample size and study duration.
• The established protocol provides a foundation for future, more extensive research.
• Preliminary data suggests a need for further investigation into confusion's role in surgical learning.

Conclusions:

• This preliminary study introduces epistemic emotions, particularly confusion, as a key area for surgical education research.
• Findings indicate a potential shift from traditional, stress-based surgical teaching methods.
• Further research with larger cohorts and extended study periods is required for significant results.