Abstract
Immersive interaction technology, such as virtual reality (VR) and augmented reality (AR), plays a crucial role in creating a realistic and engaging experience for users within the metaverse. This technology can be widely used in fields such as paramedicine, industrial design, VR games, and 3D movies. Additionally, advancements in 5G networks and cloud computing have made it possible to create high-fidelity and low-latency virtual environments, making it possible for multiple users to interact in real-time in the same virtual space. This chapter introduces the concept and application of digital twins, which is a virtual representation of physical assets, systems, and processes. They are used to simulate and analyze the behavior and performance of the real-world entities they represent to improve operations, predict maintenance needs, and optimize performance. Overall, the metaverse is a vision of a fully immersive and interactive virtual world, and immersive interaction technology is how this vision can be brought to life. With advancements in immersive technology and network infrastructure, the metaverse is becoming increasingly feasible and is expected to play a growing role in how we live, work, and interact with each other in the digital world.
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Notes
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Pincushion distortion: the phenomenon of contraction to the center of the picture caused by the lens.
- 2.
Barrel distortion: the phenomenon of expansion around the screen caused by the lens.
Bibliography
Antweiler D, Sessler D, Rossknecht M et al (2022) Uncovering chains of infections through spatio-temporal and visual analysis of COVID-19 contact traces. Comput Graph 106:1–8 (2022). https://doi.org/10.1016/j.cag.2022.05.013
Cao H, Zhong S, Shen Y et al (2022) MtDNA specific fluorescent probe uncovering mitochondrial nucleoids dynamics during programmed cell death under super-resolution nanoscopy. Chem Eng J 449:137763
Chen M, Abdul-Rahman A, Archambault D et al (2022) RAMPVIS: Answering the challenges of building visualisation capabilities for large-scale emergency responses. Epidemics 39:100569
Christian T, Gennady A, Natalia A et al (2021) Toward flexible visual analytics augmented through smooth display transitions. Visual Informatics 5(3):28–38. https://doi.org/10.1016/j.visinf.2021.06.004
Ferreira A, Afonso AP, Ferreira L, Vaz R (2022) Visual Analytics of Trajectories with RoseTrajVis. Big Data Res 27:100294. https://doi.org/10.1016/j.bdr.2021.100294
Ghosh S, Kumar D, Kumari R (2022) Cloud-based large-scale data retrieval, mapping, and analysis for land monitoring applications with Google Earth Engine (GEE). Environ Challenges 9:100605. https://doi.org/10.1016/j.envc.2022.100605
Gómez-Romero J, Molina-Solana M, Oehmichen A, Guo Y (2018) Visualizing large knowledge graphs: A performance analysis. Futur Gener Comput Syst 89:224–238. https://doi.org/10.1016/j.future.2018.06.015
Li C, Cao M, Wen X et al (2022) MDIVis: Visual analytics of multiple destination images on tourism user generated content. Visual Informatics 6(3):1–10. https://doi.org/10.1016/j.visinf.2022.06.001
Steegman R, Schoeman A, Dieters A et al (2022) Three-dimensional volumetric changes in the airway of growing unilateral complete cleft lip and palate patients after bone-anchored maxillary protraction. Am. J. Orthod. Dentofac. Orthop. 162(6):850–860
Weihua L, Wenxin H, Yicha Z (2022) Visualization analysis of additive manufacturing in medical rehabilitation field based on knowledge graph. Futur Gener Comput Syst 70:66–71. https://doi.org/10.1016/j.matpr.2022.08.530
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Cheng, S. (2023). Metaverse and Immersive Interaction Technology. In: Metaverse: Concept, Content and Context. Springer, Cham. https://doi.org/10.1007/978-3-031-24359-2_3
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DOI: https://doi.org/10.1007/978-3-031-24359-2_3
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