Adaptive Human-Robotic Interaction for Robotic-assisted Surgical Settings.
Journal:
Military medicine
PMID:
37948270
Abstract
INTRODUCTION: Increased complexity in robotic-assisted surgical system interfaces introduces problems with human-robot collaboration that result in excessive mental workload (MWL), adversely impacting a surgeon's task performance and increasing error probability. Real-time monitoring of the operator's MWL will aid in identifying when and how interventions can be best provided to moderate MWL. In this study, an MWL-based adaptive automation system is constructed and evaluated for its effectiveness during robotic-assisted surgery.