Education Type
OtherMachine Guidance group will receive education from a software, while the Instructor Guidance Group will receive education from a human instructor.
NCT Number: NCT06968260
This randomized controlled trial will explore how instructor type-human vs. machine-affects performance, immersion, and stress during VR-based Basic Life Support (BLS) training. Participants will receive VR based education wither with a machine instructor or a human instructor and complete a simulated emergency exam. Outcomes will include procedural accuracy, physiological stress (measured via electrodermal activity), and subjective evaluations of presence and instructor effectiveness.
Trial opening soon.
Get Notified18 year–25 year
All sexes
Interventional
Not applicable
In high-stakes medical emergencies, both technical proficiency and psychological resilience are critical. Traditional Basic Life Support (BLS) training methods-such as lectures, role-play, and manikin-based practice-help students build core skills but often fall short in replicating the stress and complexity of real-world crises. As medical education evolves, virtual reality (VR) is emerging as a promising tool, offering immersive, controlled environments that simulate emergency conditions while supporting both skill acquisition and psychological engagement. However, while VR's benefits for technical training are well-established, its impact on stress management and mental preparedness remains underexplored.
This study will examine how the type of instructor-human or machine-within a VR-based training environment influences students' performance, immersion, and stress responses during BLS training. Participants will undergo VR-based BLS instruction led by either a human educator or a software-based guide, followed by a simulated emergency exam. Outcomes will be assessed through procedural accuracy, physiological stress measured via electrodermal activity (EDA), and subjective evaluations of presence and instructor effectiveness.
The findings are expected to shed light on how different instructional approaches in VR affect not only learning outcomes but also students' capacity to manage stress in high-pressure situations. By identifying how instructor type influences both competence and psychological resilience, this research aims to optimize VR-based medical training for the demands of real-world clinical practice.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Machine Guidance group will receive education from a software, while the Instructor Guidance Group will receive education from a human instructor.
Time frame: Up to 4 weeks
Electrodermal activity will be used to operationalize stress levels via Shimmer3 GSR+ (Galvanic Skin Response) Unit.
Time frame: Up to 4 weeks
Presence will be measured using Presence Questionnaire. The questionnaire is 7- point likert type, with higher scores meaning increased presence. The minimum possible score is 1 and the maximum is 7.
Time frame: Up to 4 weeks
This questionnaire will be used to assess instructor evaluations. Items are rated on a 7-point Likert scale. Higher scores indicate better satisfaction with the course.
Time frame: Up to 4 weeks
Scores on the exam module will be compared across groups. Scores will range from 1 to 100. Higher scores will indicate higher success.
Acibadem University
Other
Comparing Physiological Stress and Learning Outcomes in Instructor- vs. Software-Guided VR Basic Life Support Training
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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