A review of QoE research progress in metaverse |
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| Affiliation: | 1. R&D Center, TCL China Star Optoelectronics Technology Co., Ltd., Shenzhen 518107, China;2. School of Electronic and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen 518000, China;1. Special Display and Imaging Technology Innovation Center of Anhui Province, National Engineering Laboratory of Special Display Technology, Hefei University of Technology, Hefei, Anhui 230009, China;2. Academy of Opto-electric Technology, Hefei University of Technology, Hefei, Anhui 230009, China;3. School of Instrument Science and Opto-electronics Engineering, Hefei University of Technology, Hefei, Anhui 230009, China;1. College of Faculty of Printing, Packaging Engineering and Digital Media Technology, Xi’an University of Technology, Xi’an 710048, China;2. Key Lab of Printing and Packaging Engineering of Shaanxi Province, Xi’an 710048, China;3. Printing and Packaging Engineering Technology Research Centre of Shaanxi Province, Xi’an 710048, China |
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| Abstract: | Metaverse is a virtual world that maps and interacts with the real world. It is a digital living space with a new social system created through Virtual Reality (VR), Augmented Reality (AR), Mixed Reality (MR), Artificial Intelligence (AI), Cloud Computing (CC) and other technologies. With the rapid development of block chain technology, interactive technology, network and computing technology, communication network technology, digital twin technology, artificial intelligence technology, Internet of Things technology and electronic game technology, the metaverse has also ushered in a stage of rapid development. However, enormous difficulties and challenges remain in how to create a perfect metaverse system that can truly break the barriers between reality and virtual. The quality of content, device and interaction in the metaverse all have an important impact on the Quality of Experience (QoE). The purpose of this paper is to provide the latest research progress of the current metaverse QoE, which will be helpful to the future research of the metaverse QoE and provide the direction for further research. |
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| Keywords: | Metaverse QoE Quantification of QoE Assessment methods |
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