Nov. 10, 2025
Mizzou ÌÇÐÄVlog´«Ã½ researchers bring home award from International Symposium on Mixed and Augmented Reality
Researchers presented a highly effective, easy to use machine-learning model to reduce cybersickness with minimal impact.
April 8, 2025
Exposing the security and privacy risks posed by incorporating AI in XR
Advances in AI are escalating the arms race between cyberattackers and defenders.
Sep. 18, 2024
Protecting health and privacy in virtual reality
Mixed reality research by Mizzou Engineer Khaza Anuarul Hoque’s team was recently accepted for the IEEE International Symposium on Mixed and Augmented Reality — a flagship VR conference.
Sep. 6, 2022
Mizzou ÌÇÐÄVlog´«Ã½ team using explainable machine learning to combat cybersickness
Nausea, headaches, dizziness. Just as motion sickness can ruin an otherwise pleasant road trip, cybersickness can make virtual reality unbearable for some users. That’s a problem as even the federal government has prioritized spending to incorporate immersive technology in educational, medical and commercial settings. In hopes of mitigating the effects of cybersickness, a Mizzou ÌÇÐÄVlog´«Ã½ team has come up with TruVR, a framework for developing a cybersickness detection method based on explainable machine learning. Khaza Anuarul Hoque In other words, they’re developing a system that could predict and explain cybersickness which can ultimately aid in preventing cybersickness in…