Visual Perception Exploration Using Eye-tracking Technology in High-fidelity Medical Simulation
- Conditions
- Task Performance and AnalysisPerceptionSimulation TrainingEye Movements
- Interventions
- Behavioral: Simulation
- Registration Number
- NCT03049098
- Lead Sponsor
- Issam Tanoubi
- Brief Summary
The aim of this observational study is to compare the visual interests between residents in high-fidelity simulation practice
- Detailed Description
Eighteen first year residents were asked to take part in a nine-minute scenario based on an ACLS bradycardia algorithm in which a high-fidelity mannequin required external pacing. The scenario was considered a success if the material was correctly set by the participant to obtain electrical and mechanical pacing in nine minutes. All participants were wearing Tobii Glasses® which is a mobile eye-tracking system that automatically aggregates gaze data. Infrared markers were placed in the simulation room to create Area of Interest (AOI), from which results were obtained. Three AOI were created: the vital signs monitor, the defibrillator/pacing unit and the head of the patient. Eye-tracking data were analyzed using the Tobii Studio® program.
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 21
- First-year residents from various specialties in their first three weeks of training
- Underwent a previous residency
- Attending physicians in another country
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Arm && Interventions
Group Intervention Description Success at the simulation Simulation Participant could correctly set the pacing unit to obtain electrical and mechanical pacing of the mannequin in nine minutes. Failed the simulation Simulation Participant could not correctly set the pacing unit to obtain electrical and mechanical pacing of the mannequin in nine minutes.
- Primary Outcome Measures
Name Time Method Time to first fixation, Total visit time During the scenario Using eye-tracking technology, gaze date can be aggregate onto Areas of interest where data can be extrapolated.
- Secondary Outcome Measures
Name Time Method