QoE enhancement of the industrial metaverse based on Mixed Reality application optimization |
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| Affiliation: | 1. Shanxi Key Laboratory of Fully Mechanized Coal Mining Equipment, College of Mechanical and Vehicle Engineering, Taiyuan University of Technology, Taiyuan 030024, China;2. National Key Laboratory of Intelligent Mining Equipment Technology, Taiyuan 030032, China;3. Department of Mechanical Engineering, College of Design and Engineering, National University of Singapore, 117576, Singapore;1. School of Electronic Engineering, Kumoh National Institute of Technology, Gumi, Gyeongbuk 39177, Republic of Korea;2. The division of AI Software Convergence, Dongguk University, Seoul 04620, Republic of Korea;1. School of Computer Engineering, Nanjing Institute of Technology, Nanjing, China;2. College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, China;1. Department of Biochemistry and Biophysics, School of Basic Medical Sciences, Peking University, 38 Xueyuan Road, Beijing 100191, China;2. School of Basic Medical Sciences, Peking University, 38 Xueyuan Road, Beijing 100191, China;3. School of Basic Medical Sciences, Peking University, 38 Xueyuan Road, Beijing 100191, China;4. School of Basic Medical Sciences, Peking University, 38 Xueyuan Road, Beijing 100191, China;5. Division of Cervical Spine, Department of Orthopaedic, Third Hospital of Peking University, 49 Huayuanbei Road, Beijing 100191, China;6. Division of Cervical Spine, Department of Orthopaedic, Third Hospital of Peking University, 49 Huayuanbei Road, Beijing 100191, China;7. Division of Cervical Spine, Department of Orthopaedic, Third Hospital of Peking University, 49 Huayuanbei Road, Beijing 100191, China;8. Neuroscience Research Institute and Key Laboratory for Neuroscience, Ministry of Education/National Health Commission of China, Peking University, 38 Xueyuan Road, Beijing 100191, China |
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| Abstract: | As a comprehensive integration of many new-generation information technologies, the metaverse has become a research hotspot that has attracted much attention. As a part of the metaverse, the industrial metaverse is expected to break through the constraints of space and time and promote high-quality industrial development. The industrial metaverse is human-centric, so its quality of experience (QoE) is a key topic. As one of the enabling technologies of the industrial metaverse, Mixed Reality (MR) can seamlessly integrate virtual information with the physical world and is widely regarded as an important window to the industrial metaverse. In close integration with other enabling technologies, industrial MR applications can be seen as a path toward the realization of the industrial metaverse; thus, the optimization of industrial MR applications can effectively achieve the QoE enhancement of the industrial metaverse. Based on the analysis of existing research and the characteristics of industrial scenarios, consistency, authenticity, smoothness, and comfort are identified as the factors that influence the user experience (UX) of industrial MR applications. Specific optimization methods for industrial MR applications are proposed to improve the UX with regard to these four factors. To verify the effectiveness of the proposed methods, a QoE evaluation model of the industrial metaverse based on the fuzzy analytic hierarchy process (FAHP) is established. Moreover, an industrial metaverse prototype for longwall mining that incorporates the proposed methods is developed and its QoE is evaluated. The results show that the proposed optimization methods for industrial MR applications significantly enhance the QoE in the industrial metaverse, and can provide better services for users in industrial systems, thus better serving these systems. |
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| Keywords: | Industrial metaverse Mixed Reality Application optimization QoE enhancement User experience FAHP |
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