Comparing Machine Guided VR Based Training With Educator Guided Training in Metaverse

Virtual Reality Clinical Trial

Official title:

Comparing Machine Guided VR Based Training With Educator Guided Training in Metaverse Environment: A Randomized Controlled Study

Clinical Trial Details — Status: Recruiting

Administrative data

• NCT number: NCT06288087
• Other study ID #: 2023-20/672
• Status: Recruiting
• Phase: N/A
• Start date: March 4, 2024
• Est. completion date: April 11, 2024

Study information

• Verified date: February 2024
• Source: Acibadem University
• Contact: Mehmet Emin Aksoy, MD, Ph.D.
• Phone: +905052685158
• Email: emin.aksoy[@]acibadem.edu.tr
• Is FDA regulated: No
• Study type: Interventional

Clinical Trial Summary

The main aim of this study is to compare the learning outcomes of machine guided VR based training for adult advanced life support with educator guided training in metaverse environment.

Description:

Online education stands as one of the metaverse's potential application areas. The metaverse's ability to offer shared social connections differs it from existing online educational platforms such as Simulation, AR, and VR, which primarily focus on presenting virtual content and environments without fostering communal interaction. This facilitates interaction between learners and educators during metaverse-based training sessions allowing educators to guide the learners and provide feedback. The educators' presence fosters communication and collaboration during training sessions, thereby enhancing learners' motivation and engagement.

In our university, a VR-based multiplayer training module within the metaverse environment specifically designed for ALS (Adult Advanced Life Support) training has been developed. This module serves as an additional training tool to simulation-based training, enabling learners to receive guidance either from machine algorithms or educators within the metaverse. The objective of this study is to reveal the benefits of educator presence in the metaverse during VR-based training sessions.

Recruitment information / eligibility

• Status: Recruiting
• Enrollment: 62
• Est. completion date: April 11, 2024
• Est. primary completion date: March 29, 2024
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: All
• Age group: N/A and older

Eligibility

Inclusion Criteria:

• Volunteering for the study

Exclusion Criteria:

• Previously experienced VR-induced motion sickness

• Previous Advanced Life Support training

• Other medical conditions like vertigo attacks

• Being under medication, which may cause vertigo like symptoms.

Related Conditions & MeSH terms

• Advanced Cardiac Life Support
• Serious Game
• Virtual Reality

Intervention

Other:
• VR Based Training with Machine Guidance (MG Group)
The members of both groups will undertake a VR based basic training for ALS. Afterwards MG group were trained with VR based Advanced Training Module, which provides training with full machine guidance. The knowledge level will then be evaluated by the exam mode of the VR based training module
• VR Based Training with Educator Guidance in Metaverse (EG Group)
The members of both groupswill undertake a VR based basic training for ALS. Afterwards EG group will attend at VR based Educator guided training in metaverse. The knowledge level will then be evaluated by the exam mode of the VR based training module

Locations

Country	Name	City	State
Turkey	Acibadem University CASE (Center of Advanced Simulation and Education)	Istanbul	Non-US/Canada
Turkey	Acibadem University CASE (Center of Advanced Simulation and Education)	Istanbul	Non-US/Canada

Sponsors (1)

Lead Sponsor	Collaborator
Acibadem University

Country where clinical trial is conducted

Turkey, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Comparing Learning outcome of the Advanced Cardiac Life Support Training of the two interventions used in this study	Knowledge assessment will be conducted using the exam mode of the VR-based training module, evaluating users' performances utilizing an international algorithm developed by the American Heart Association (AHA) and Crisis Resource Management Criteria (CRM) derived from Aviation Training Algorithms. Seventy percent of the total performance score will be derived from ACLS assessments, with the remaining percentage calculated from CRM performances of the participants. The primary outcome of the study will be determined by the total score obtained through the exam mode of the VR-based training module.	The participants will complete the exam mode for final evaluation right after the completion of training on the same day