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.