Enhancing Immersion in Virtual Reality Based Advanced Life Support Training

NCT ID: NCT06458452

Last Updated: 2024-06-13

Basic Information

• Recruitment Status: RECRUITING
• Clinical Phase: NA
• Total Enrollment: 67 participants
• Study Classification: INTERVENTIONAL
• Study Start Date: 2024-05-31
• Study Completion Date: 2024-07-31

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.

Detailed Description

Virtual Reality based training modules have become one of the training modalities for simulation based healthcare training and have an important role for the training of healthcare professionals VR based training modules have used hand-held controllers for navigation and interaction with the virtual environment so far. In parallel to the advancements in Artificial Intelligence (AI) and natural language processing (NLP) potential for voice command interfaces, offer an alternative method of control in Virtual Reality applications by providing more intuitive and accessible means of interaction for users.Voice commands, powered by NLP algorithms, enable users to navigate and manipulate virtual environments using natural language and have the potential to reduce the learning curve associated with Virtual Reality controller inputs. Voice interfaces have also the potential to offer accessibility benefits for users with physical disabilities, for whom conventional controllers may be difficult to use].

Despite the potential advantages, using voice command systems in Virtual Reality gaming has also its limitations like speech recognition accuracy, latency, the system's ability to understand context-specific commands, problems caused by environmental noise, user's accent or speech patterns.

There has been limited research comparing the user performance and user satisfaction of Artificial Intelligence supported voice command interfaces against traditional Virtual Reality controllers. This study aims to compare the two control methods using various metrics like task completion time, participants' exam scores and level of immersion.The hypothesis of this study is that Artificial Intelligence supported voice commands can offer a superior user experience in Virtual Reality gaming by providing a natural form of interaction.

Conditions

Advanced Cardiac Life Support; Artificial Intelligence

Study Design

• Allocation Method: RANDOMIZED
• Intervention Model: PARALLEL
• Primary Study Purpose: OTHER
• Blinding Strategy: SINGLE

Study Groups

Game Interaction with Voice Recognition (Group VG)

Group VG participants will use AI driven Voice Recognition as game controller interface.

Group Type: ACTIVE_COMPARATOR

Using Virtual Reality based serious gaming module for Advanced Cardiac Life Support

Intervention Type: OTHER

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

Game Interaction with VR Controllers (Group CG)

Group CG participants will use hand held VR controllers as game controller interface.

Group Type: ACTIVE_COMPARATOR

Using Virtual Reality based serious gaming module for Advanced Cardiac Life Support

Intervention Type: OTHER

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

Interventions

Using Virtual Reality based serious gaming module for Advanced Cardiac Life Support

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

Intervention Type: OTHER

Eligibility 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

• Minimum Eligible Age: 20 Years
• Maximum Eligible Age: 22 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: Yes

Sponsors

Acibadem University

OTHER

Sponsor Role: lead

Responsible Party

Dilek Kitapçıoğlu

Assist Prof Dr

Responsibility Role: PRINCIPAL_INVESTIGATOR

Principal Investigators

Dilek Kitapcioglu, MD

Role: PRINCIPAL_INVESTIGATOR

Acibadem University

Locations

Acibadem Mehmet Ali Aydinlar University CASE Simulation Center

Istanbul, , Turkey (Türkiye)

Site Status: RECRUITING

Countries

Turkey (Türkiye)

Central Contacts

Ayca Mazlumoglu

Role: CONTACT

ayca.mazlumoglu@acibadem.edu.tr

+902165004460

Facility Contacts

Ilknur Yurdakul, RN

Role: primary

ilknur.yurdakul@acibadem.edu.tr

+905387011439

References

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.

Reference Type: DERIVED

PMID: 39951703 (View on PubMed)

Other Identifiers

Acibadem CASE

Identifier Type: -

Identifier Source: org_study_id