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Browsing by Author "Cha, Jackie"
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Item Eye-Tracking Metrics Predict Perceived Workload in Robotic Surgical Skills Training(Sage, 2019) Wu, Chuhao; Cha, Jackie; Sulek, Jay; Zhou, Tian; Sundaram, Chandru P.; Wachs, Juan; Yu, Denny; Urology, School of MedicineObjective: The aim of this study is to assess the relationship between eye-tracking measures and perceived workload in robotic surgical tasks. Background: Robotic techniques provide improved dexterity, stereoscopic vision, and ergonomic control system over laparoscopic surgery, but the complexity of the interfaces and operations may pose new challenges to surgeons and compromise patient safety. Limited studies have objectively quantified workload and its impact on performance in robotic surgery. Although not yet implemented in robotic surgery, minimally intrusive and continuous eye-tracking metrics have been shown to be sensitive to changes in workload in other domains. Methods: Eight surgical trainees participated in 15 robotic skills simulation sessions. In each session, participants performed up to 12 simulated exercises. Correlation and mixed-effects analyses were conducted to explore the relationships between eye-tracking metrics and perceived workload. Machine learning classifiers were used to determine the sensitivity of differentiating between low and high workload with eye-tracking features. Results: Gaze entropy increased as perceived workload increased, with a correlation of .51. Pupil diameter and gaze entropy distinguished differences in workload between task difficulty levels, and both metrics increased as task level difficulty increased. The classification model using eye-tracking features achieved an accuracy of 84.7% in predicting workload levels. Conclusion: Eye-tracking measures can detect perceived workload during robotic tasks. They can potentially be used to identify task contributors to high workload and provide measures for robotic surgery training. Application: Workload assessment can be used for real-time monitoring of workload in robotic surgical training and provide assessments for performance and learning.Item Sensor-based indicators of performance changes between sessions during robotic surgery training(Elsevier, 2021) Wu, Chuhao; Cha, Jackie; Sulek, Jay; Sundaram, Chandru P.; Wachs, Juan; Proctor, Robert W.; Yu, Denny; Urology, School of MedicineTraining of surgeons is essential for safe and effective usage of robotic surgery, yet current assessment tools for learning progression are limited. The objective of this study was to measure changes in trainees’ cognitive and behavioral states as they progressed in a robotic surgeon training curriculum at a medical institution. Seven surgical trainees in urology who had no formal robotic training experience participated in the simulation curriculum. They performed 12 robotic skills exercises with varying levels of difficulty repetitively in separate sessions. EEG (electroencephalogram) activity and eye movements were measured throughout to calculate three metrics: engagement index (indicator of task engagement), pupil diameter (indicator of mental workload) and gaze entropy (indicator of randomness in gaze pattern). Performance scores (completion of task goals) and mental workload ratings (NASA-Task Load Index) were collected after each exercise. Changes in performance scores between training sessions were calculated. Analysis of variance, repeated measures correlation, and machine learning classification were used to diagnose how cognitive and behavioral states associate with performance increases or decreases between sessions. The changes in performance were correlated with changes in engagement index (rrm = −.25, p < .001) and gaze entropy (rrm = −.37, p < .001). Changes in cognitive and behavioral states were able to predict training outcomes with 72.5% accuracy. Findings suggest that cognitive and behavioral metrics correlate with changes in performance between sessions. These measures can complement current feedback tools used by medical educators and learners for skills assessment in robotic surgery training.Item Stress and resident interdisciplinary team performance: Results of a pilot trauma simulation program(Elsevier, 2021-10) Anton, Nicholas E.; Huffman, Elizabeth M.; Ahmed, Rami A.; Cooper, Dylan D.; Athanasiadis, Dimitrios I.; Cha, Jackie; Stefanidis, Dimitrios; Lee, Nicole K.; Surgery, School of MedicineBACKGROUND: Excessive stress negatively impacts surgical residents' technical performance. The effect of stress on trainee nontechnical skills, however, is less well studied. Given that nontechnical skills are known to impact clinical performance, the purpose of this study was to assess the relationship between residents' perceived stress and nontechnical skills during multidisciplinary trauma simulations. METHODS: First-year surgery and emergency medicine residents voluntarily participated in this study. Residents participated in 3 trauma simulations across 2 training sessions in randomly assigned teams. Each team's nontechnical skills were evaluated by faculty using the Trauma Nontechnical Skills scale. The Trauma Nontechnical Skills scale consists of 5 items: leadership, cooperation, communication, assessment, and situation awareness/coping with stress. After each scenario, residents completed the 6-item version of the State-Trait Anxiety Inventory and the Surgery Task Load Index to detail their perceived stress and workload during scenarios. Linear regressions were run to assess relationships between stress, workload, and nontechnical skills. RESULTS: Twenty-five residents participated in the first simulation day, and 24 residents participated in the second simulation day. Results from regressions revealed that heightened stress and workload predicted significantly lower nontechnical skills performance during trauma scenarios. In regard to specific aspects of nontechnical skills, residents' heightened stress and workload predicted statistically significant lower situation awareness and decision-making during trauma scenarios. CONCLUSION: Residents' perceived stress and workload significantly impaired their nontechnical skills during trauma simulations. This finding highlights the need to offer stress management and performance-optimizing mental skills training to trainees to lower their stress and optimize nontechnical skills performance during challenging situations.