Using virtual reality and voice recognition to improve Advanced Cardiac Life Support training
Enhancing Immersion in Virtual Reality Based Advanced Life Support Training Through Artificial Intelligence Driven Voice Control: A Randomized Controlled Trial
NA · Acibadem University · NCT06458452
This study is testing whether using virtual reality with voice commands can make Advanced Cardiac Life Support training better and easier for anesthesiology students.
Quick facts
| Phase | NA |
|---|---|
| Study type | Interventional |
| Enrollment | 67 (estimated) |
| Ages | 20 Years to 22 Years |
| Sex | All |
| Sponsor | Acibadem University (other) |
| Locations | 1 site (Istanbul) |
| Trial ID | NCT06458452 on ClinicalTrials.gov |
What this trial studies
This study explores the use of virtual reality (VR) training modules enhanced with artificial intelligence (AI) voice recognition to improve the immersion and effectiveness of Advanced Cardiac Life Support (ACLS) training. Participants will engage in serious gaming scenarios that utilize voice commands for navigation and interaction, potentially making the training more intuitive and accessible. The study aims to compare user performance and satisfaction between traditional VR controllers and AI-supported voice command systems, addressing the limitations of current training methods. The research is conducted at Acibadem Mehmet Ali Aydinlar University, focusing on students in the anesthesiology program.
Who should consider this trial
Good fit: Ideal candidates are students aged 20-22 enrolled in the fourth semester of the Acibadem Mehmet Ali Aydinlar University Vocational School Anesthesiology Program.
Not a fit: Patients with prior ACLS training or those experiencing virtual reality-induced motion sickness may not benefit from this study.
Why it matters
Potential benefit: If successful, this approach could lead to more effective and accessible training for healthcare professionals in life-saving techniques.
How similar studies have performed: While there has been limited research on the effectiveness of AI voice recognition in VR training, the integration of these technologies is a novel approach in medical education.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Volunteering for the study * Aged between 20-22 years, * Being a student in the fourth semester (Spring Semester 2023-2024) of Acibadem Mehmet Ali Aydinlar University Vocational School Anesthesiology Program Exclusion Criteria: * No prior Adavanced Cardiac Life Support training, * History of Virtaul Reality induced motion sickness, * Medical conditions such as vertigo attacks * Using medications causing vertigo-like symptoms
Where this trial is running
Istanbul
- Acibadem Mehmet Ali Aydinlar University CASE Simulation Center — Istanbul, Turkey (Türkiye) (RECRUITING)
Study contacts
- Principal investigator: Dilek Kitapcioglu, MD — Acibadem University
- Study coordinator: Ayca Mazlumoglu
- Email: ayca.mazlumoglu@acibadem.edu.tr
- Phone: +902165004460
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions: Advanced Cardiac Life Support, Artificial Intelligence, Virtual Reality, Voice Recognition, Serious Gaming