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Enhancing Immersion in Virtual Reality Based Advanced Life Support Training

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

Status
Recruiting
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06458452
Enrollment
67
Registered
2024-06-13
Start date
2024-05-31
Completion date
2024-07-31
Last updated
2024-06-13

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Advanced Cardiac Life Support, Artificial Intelligence

Keywords

Virtual Reality, Advanced Cardiac Life Support, Artificial Intelligence, Voice Recognition, Serious Gaming

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.

Interventions

OTHERUsing 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

Sponsors

Acibadem University
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
OTHER
Masking
SINGLE (Subject)

Masking description

Fourth semester students of Vocational School of Anaesthesiology

Eligibility

Sex/Gender
ALL
Age
20 Years to 22 Years
Healthy volunteers
Yes

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

Design outcomes

Primary

MeasureTime frameDescription
Comparison of two groups' performance scoresUp to 4 weeksThe participants of two groups will complete a Virtual Reality based exam for performance scoring

Secondary

MeasureTime frameDescription
Level of immersion during game playUp to 4 weeksThe participants of two groups will answer a questionnaire about the level of immersion

Countries

Turkey (Türkiye)

Contacts

Primary ContactAyca Mazlumoglu
ayca.mazlumoglu@acibadem.edu.tr+902165004460

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026