How Artificial Intelligence Can Help Predict Cybersickness in VR Users

Among virtual reality (VR) users, artificial intelligence (AI) was found to reduce nausea, headaches, and dizziness (1^✔ ✔Trusted Source
Identifying presence of cybersickness symptoms using AI-based predictive learning algorithms

Go to source). With the growing use and need of VR technology, being able to effectively predict and prevent cybersickness was crucial, said researchers from Charles Darwin University (CDU) and Torrens University in Australia.

Questionnaire data was split into two groups: people who will experience cybersickness symptoms within minutes of using VR devices, and people who wouldn't have issues with using VR devices.

Identifying Cybersickness Using AI

"Most of the people feel discomfort after having a VR experience and having the ability to predict the occurrence of cybersickness for an individual, helps the VR developers and manufacturers to come up with solutions and take preemptive actions to create a better experience for the VR users and address the issues causing it," said Niusha Shafiabady, Associate Professor, Faculty of Science and Technology at CDU.

"In the era of technology and especially after the COVID-19 pandemic, the need for remote access and virtual education has grown significantly. Cybersickness is one of the factors that hinders the users from using VR devices because of the great discomfort due to the VR experience," she added.

Professor Shafiabady said the next step could be to use explainable AI algorithms to explore why the AI algorithms made its predictions, giving developers and manufacturers reason why users will have discomfort.

"We are moving towards the times where we use VR devices for essential activities such as servicing manufacturers remotely and teaching, to less essential but more fun activities like looking into outer space through VR lens," she said.

"In the era of technology, VR users should be able to get the benefits of technology without suffering."

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Reference:

1. Identifying presence of cybersickness symptoms using AI-based predictive learning algorithms - (https://link.springer.com/article/10.1007/s10055-023-00813-z#Sec12)

Source-IANS