Xsickness in Intelligent Mobile Spaces and Metaverses

【Author】 Tan, Ruichen; Gao, Ruiyang; Li, Wenbo; Cao, Kai; Li, Ying; Lv, Chen; Wang, Fei-Yue; Cao, Dongpu

【Source】IEEE INTELLIGENT SYSTEMS

【影响因子】6.744

【Abstract】Motion sickness is known to be a common problem that influences the comfort and work efficiency of human beings during their daily lives. With the proliferation of increasingly intelligent systems, the detection and mitigation of motion sickness will face more opportunities along with bigger challenges. On the one hand, the technology for integrated sensors in the intelligent system will provide more accurate and efficient methods for motion sickness detection. However, on the other hand, since cyber-physical systems have been gaining increasing concerns in the past two decades, the cyber-physical-social systems introduce and augment the social characteristics of such systems. The interactions between physical space and cyber space increase the chance of sensory conflicts when people use intelligent systems, such as traveling in intelligent cockpits or using metaverse-related virtual reality devices. The multimodal interaction methods and larger screens will cause more sensory conflicts. The symptoms will be more severe compared to traditional motion sickness. In this article, the classifications are first introduced based on the causes of motion sickness. A new type of multifactorial motion sickness (Xsickness) is discussed, which is foreseeable to be common with intelligent development. Then, the current state-of-the-art detection methods for motion sickness and cybersickness are summarized and theoretical methods for Xsickness detection are discussed. Finally, the mitigation methods based on motion reduction and four means of human perception are discussed and the innovative mitigation methods based on the intelligent system are also introduced.

【Keywords】

【发表时间】2022 SEPT 1

【收录时间】2022-11-10

【文献类型】理论模型

【主题类别】

区块链应用-虚拟经济-元宇宙