Enhancing Immersion in Virtual Reality Based Advanced Life Support Training

June 12, 2024 updated by: Dilek Kitapçıoğlu, Acibadem University

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

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.

Study Overview

Status

Recruiting

Conditions

Intervention / Treatment

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.

Study Type

Interventional

Enrollment (Estimated)

67

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

  • Turkey
      • Istanbul, Turkey
        • Recruiting
        • Acibadem Mehmet Ali Aydinlar University CASE Simulation Center
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult

Accepts Healthy Volunteers

Yes

Description

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

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Other
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Active Comparator: Game Interaction with Voice Recognition (Group VG)
Group VG participants will use AI driven Voice Recognition as game controller interface.
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
Active Comparator: Game Interaction with VR Controllers (Group CG)
Group CG participants will use hand held VR controllers as game controller interface.
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

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Comparison of two groups' performance scores
Time Frame: Up to 4 weeks
The participants of two groups will complete a Virtual Reality based exam for performance scoring
Up to 4 weeks

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Level of immersion during game play
Time Frame: Up to 4 weeks
The participants of two groups will answer a questionnaire about the level of immersion
Up to 4 weeks

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Acibadem University

Investigators

  • Principal Investigator: Dilek Kitapcioglu, MD, Acibadem University

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

May 31, 2024

Primary Completion (Estimated)

July 17, 2024

Study Completion (Estimated)

July 31, 2024

Study Registration Dates

First Submitted

June 3, 2024

First Submitted That Met QC Criteria

June 12, 2024

First Posted (Actual)

June 13, 2024

Study Record Updates

Last Update Posted (Actual)

June 13, 2024

Last Update Submitted That Met QC Criteria

June 12, 2024

Last Verified

June 1, 2024

More Information

Terms related to this study

Keywords

Other Study ID Numbers

  • Acibadem CASE

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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