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cs.HC2021
DiVRsify: Break the Cycle and Develop VR for Everyone
Tabitha C. Peck, Kyla McMullen, John Quarles
Virtual reality technology is biased. It excludes approximately 95% the world's population by being primarily designed for male, western, educated, industrial, rich, and democratic…
cs.HC2021★ 2 cited
VR Sickness Prediction from Integrated HMD's Sensors using Multimodal Deep Fusion Network
Rifatul Islam, Kevin Desai, John Quarles
Virtual Reality (VR) sickness commonly known as cybersickness is one of the major problems for the comfortable use of VR systems. Researchers have proposed different approaches for…