AI can predict cybersickness in VR users with 93% accuracy

A recent study conducted by researchers from Charles Darwin University (CDU) and Torrens University has suggested that artificial intelligence (AI) can play a significant role in reducing nausea, headaches, and dizziness experienced by users of virtual reality (VR) technology. The study, led by Fawad Zaidi, Associate Professor Niusha Shafiabady, and Emeritus Professor Justin Beilby, explored the use of AI techniques and machine learning algorithms to predict cybersickness in potential VR users.

The researchers divided the questionnaire data into two groups: individuals who experienced cybersickness symptoms shortly after using VR devices and those who did not face any issues. Using Ai-Labz, an AI platform developed by Associate Professor Niusha Shafiabady from CDU’s Faculty of Science and Technology, the data was processed and analyzed. The results demonstrated that AI could predict discomfort among VR users with an impressive 93% accuracy.

Associate Professor Shafiabady emphasized the importance of effectively predicting and preventing cybersickness, especially given the growing use and demand for VR technology. She noted that discomfort following a VR experience is a common issue, and being able to predict the occurrence of cybersickness can aid VR developers and manufacturers in finding solutions and taking preemptive actions to enhance the user experience.

The need for remote access and virtual education has significantly increased, particularly in the wake of the COVID-19 pandemic. However, cybersickness has been a major obstacle for VR users, preventing them from fully utilizing VR devices due to the discomfort it causes. Associate Professor Shafiabady believes that in the era of technology, VR users should be able to reap the benefits without suffering from these adverse effects.

Moving forward, the researchers plan to employ eXplainable AI algorithms to investigate the reasons behind the predictions made by the AI models. This will provide developers and manufacturers with insights into the factors contributing to user discomfort, facilitating the development of more tailored solutions.

The study, titled “Identifying presence of cybersickness symptoms using AI-based predictive learning algorithms,” has been published in the journal Virtual Reality. As VR technology continues to advance, the integration of AI holds promise in mitigating the negative effects experienced by users and making VR more accessible and enjoyable for a wider audience.

Source: Charles Darwin University

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