Enhancing Immersion in Virtual Reality Based Advanced Life Support Training

Artificial Intelligence Clinical Trial

Official title:

Enhancing Immersion in Virtual Reality Based Advanced Life Support Training Through Artificial Intelligence Driven Voice Control: A Randomized Controlled Trial

Clinical Trial Details — Status: Recruiting

Administrative data

• NCT number: NCT06458452
• Other study ID #: Acibadem CASE
• Status: Recruiting
• Phase: N/A
• Start date: May 31, 2024
• Est. completion date: July 31, 2024

Study information

• Verified date: June 2024
• Source: Acibadem University
• Contact: Ayca Mazlumoglu
• Phone: +902165004460
• Email: ayca.mazlumoglu[@]acibadem.edu.tr
• Is FDA regulated: No
• Study type: Interventional

Clinical Trial 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.

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.

Recruitment information / eligibility

• Status: Recruiting
• Enrollment: 67
• Est. completion date: July 31, 2024
• Est. primary completion date: July 17, 2024
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: All
• Age group: 20 Years to 22 Years

Eligibility

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

Related Conditions & MeSH terms

• Advanced Cardiac Life Support
• Artificial Intelligence

Intervention

Other:
• 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

Locations

Country	Name	City	State
Turkey	Acibadem Mehmet Ali Aydinlar University CASE Simulation Center	Istanbul

Sponsors (1)

Lead Sponsor	Collaborator
Acibadem University

Country where clinical trial is conducted

Turkey, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	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	Level of immersion during game play	The participants of two groups will answer a questionnaire about the level of immersion	Up to 4 weeks