Effect of automatic image realignment on visuomotor coordination in simulated laparoscopic surgery

Area of Science:

• Surgical Technology
• Human-Computer Interaction
• Medical Simulation

Background:

• Laparoscopic surgery relies on visual-motor coordination, which can be impaired by incongruent mapping between the endoscopic view and the surgical field.
• This visual-motor discrepancy challenges surgeons' hand-eye coordination, potentially affecting performance and patient outcomes.

Purpose of the Study:

• To investigate the impact of visual-motor misalignment on laparoscopic surgery performance in novice subjects.
• To evaluate the effectiveness of an automatic image realignment mechanism in improving surgical task performance.

Main Methods:

• Two experiments were conducted using a simulated laparoscopic surgery environment and a dynamic point-and-touch task.
• Experiment 1 assessed performance under varying degrees of endoscopic image misalignment.
• Experiment 2 evaluated performance with an automatic realigning mechanism activated mid-task to restore congruent visuomotor mapping.

Main Results:

• Surgical performance was optimal with perfect alignment (0° image orientation) and progressively degraded with increasing misalignment.
• Performance patterns remained consistent across different endoscope positions and optical axis orientations.
• The automatic realigning mechanism significantly improved surgical task performance.

Conclusions:

• Restoring visuomotor congruency in laparoscopic surgery is crucial for optimal performance.
• Aligning the endoscopic image with the task space should be the primary goal in developing visualization systems.
• Automatic image realignment offers a viable solution to enhance surgical performance and mitigate the effects of visual-motor misalignment.