Tuesday, May 02, 2023

'Explainable AI' can efficiently detect AR/VR cybersickness

Explainable AI for AR/VR Cybersickness Detection

Explainable AI for AR/VR Cybersickness Detection

Augmented Reality (AR) and Virtual Reality (VR) technologies have been gaining popularity in recent years. These technologies have the potential to revolutionize various industries, including gaming, education, healthcare, and more. However, one of the major challenges associated with AR/VR is cybersickness.

Cybersickness is a type of motion sickness that occurs when a person experiences a disconnect between what they see and what they feel. This can lead to symptoms such as nausea, dizziness, and headaches. Cybersickness can be a significant barrier to the adoption of AR/VR technologies, as it can limit the amount of time people can spend using these technologies.

Fortunately, Explainable AI can help efficiently detect AR/VR cybersickness. Explainable AI is a type of AI that provides explanations for its decisions. This is particularly important in the context of cybersickness detection, as it allows users to understand why they are experiencing symptoms.

Explainable AI works by analyzing various data points, such as head movements, eye movements, and heart rate. By analyzing this data, the AI can detect patterns that are indicative of cybersickness. Once cybersickness is detected, the AI can provide an explanation for why the user is experiencing symptoms.

Explainable AI has several advantages over traditional methods of cybersickness detection. Firstly, it is more accurate than self-reporting, as users may not always be aware of their symptoms. Secondly, it is less invasive than physiological monitoring, as it does not require the use of sensors or other devices. Finally, it provides users with an explanation for their symptoms, which can help them better understand how to prevent cybersickness in the future.

In conclusion, Explainable AI is a powerful tool for detecting AR/VR cybersickness. By providing explanations for its decisions, it can help users better understand why they are experiencing symptoms. This can lead to more effective prevention strategies and a better overall AR/VR experience.



https://www.lifetechnology.com/blogs/life-technology-technology-news/explainable-ai-can-efficiently-detect-ar-vr-cybersickness

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