Enhancing Immersion in Virtual Reality Based Advanced Life Support Training
1 other identifier
interventional
67
1 country
1
Brief Summary
Virtual Reality based training modulues have become a part of simulation based medical education and are nowadays used for undergraduate and postgraduate level training of healthcare professionals.In parallel to the advancements in Artificial Intelligence technology voice regotnition has the potential to be used as an interfeace during game play .The aim of this study is whether game interface with Artificial Intelligence based voice regognition may elevate the level of immersion during the use of Virtual Reality based serious gaming for Advanced Cardiac Life Support Training.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started May 2024
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
May 31, 2024
CompletedFirst Submitted
Initial submission to the registry
June 3, 2024
CompletedFirst Posted
Study publicly available on registry
June 13, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 17, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
July 31, 2024
CompletedJune 13, 2024
June 1, 2024
2 months
June 3, 2024
June 12, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Comparison of two groups' performance scores
The participants of two groups will complete a Virtual Reality based exam for performance scoring
Up to 4 weeks
Secondary Outcomes (1)
Level of immersion during game play
Up to 4 weeks
Study Arms (2)
Game Interaction with Voice Recognition (Group VG)
ACTIVE COMPARATORGroup VG participants will use AI driven Voice Recognition as game controller interface.
Game Interaction with VR Controllers (Group CG)
ACTIVE COMPARATORGroup CG participants will use hand held VR controllers as game controller interface.
Interventions
Group VG will use Artificial Intelligence driven Voice Recognition as an interface for game control whereas Group CG will only use hand held Virtual Reality controllers as an interface for game control
Eligibility Criteria
You may qualify if:
- 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
You may not qualify if:
- 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
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Acibadem Mehmet Ali Aydinlar University CASE Simulation Center
Istanbul, Turkey (Türkiye)
Related Publications (1)
Kitapcioglu D, Aksoy ME, Ozkan AE, Usseli T, Cabuk Colak D, Torun T. Enhancing Immersion in Virtual Reality-Based Advanced Life Support Training: Randomized Controlled Trial. JMIR Serious Games. 2025 Feb 14;13:e68272. doi: 10.2196/68272.
PMID: 39951703DERIVED
MeSH Terms
Interventions
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Dilek Kitapcioglu, MD
Acibadem University
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- PARTICIPANT
- Masking Details
- Fourth semester students of Vocational School of Anaesthesiology
- Purpose
- OTHER
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Assist Prof Dr
Study Record Dates
First Submitted
June 3, 2024
First Posted
June 13, 2024
Study Start
May 31, 2024
Primary Completion
July 17, 2024
Study Completion
July 31, 2024
Last Updated
June 13, 2024
Record last verified: 2024-06
Data Sharing
- IPD Sharing
- Will not share