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Assessment of a Cognitive Workload-Adaptive Augmented Reality Training Aid for Laparoscopic Surgery
DescriptionIn high-stakes surgical procedures, over half of adverse events stem from preventable errors, often linked to high mental workload. This overload affects patient outcomes and trainee learning. However, training in workload management is lacking, especially for early trainees like medical students. Current curriculums prioritize performance metrics over managing workload and errors. Recent advances in real-time workload monitoring via physiological sensing allow for interventions like augmented reality (AR) aids. By integrating AR and physiological sensors, a novel training approach can be developed. This study introduces a workload-adaptive AR guidance system for laparoscopic surgical skills, aiming to enhance training outcomes. The research seeks to assess the impact of this system on trainee performance and cognitive load management. We hypothesize that this training aid will lead to better performance and cognitive load management to improve surgical training outcomes.
Event Type
Lecture
TimeWednesday, September 11th10:05am - 10:25am MST
LocationFLW Salon H
Tracks
Augmented Cognition
Extended Reality