Investigation of Metaverse in cryptocurrency
DOI:
https://doi.org/10.30574/gscarr.2021.9.3.0306Keywords:
Metaverse, Technology adoption lifecycle, Cryptocurrency, Virtual assetsAbstract
Metaverse is an immersive 3D virtual environment, a true virtual artificial community in which avatars act as the user's alter ego and interact with each other. If we do not manage the hype for the metaverse, which has recently been receiving a surge in interest, the metaverse will fail to cross the chasm. This article conducts a comprehensive survey on computational arts, in which seven critical topics are relevant to the metaverse, describing novel artworks in blended virtual-physical realities. The topics first cover the building elements for the metaverse, e.g. Virtual scenes and characters, auditory, textual elements. Next, several remarkable types of novel creations in the expanded horizons of metaverse cyberspace have been reflected, such as immersive arts, robotic arts, and other user-centric approaches fuelling contemporary creative outputs.
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References
J Díaz, C Saldaña, C Avila. “Virtual World as a Resource for Hybrid Education,” International Journal of Emerging Technologies in Learning (iJET). 2020; 15(15): 94-109.
A Ruef, J Markard. “What happens after a hype? How changing expectations affected innovation activities in the case of stationary fuel cells,” Technology Analysis & Strategic Management. 2010; 22(3): 317-338.
G Moore, M Regis. “Crossing the chasm: Marketing and selling high-tech products to mainstream customers,”HarperBusiness Essentials. 1991.
H van Lente, C Spitters, A Peine. “Comparing technological hype cycles: Towards a theory,” Technological Forecasting and Social Change. 2013; 80(8): 1615-1628.
M Kriechbaum, J López Prol, A Posch. “Looking back at the future: Dynamics of collective expectations about photovoltaic technology in Germany & Spain,” Technological Forecasting and Social Change. 2018; 129: 76-87.
JY Lee. “A Study on Socio-technical System for Sustainability of the 4th Industrial Revolution: Machine Learning-based Analysis,” International Journal of Internet, Broadcasting and Communication. 2020; 12(4): 204-211.
EM Rogers. Diffusion of innovations, Simon and Schuster. 2010.
GA Moore. Crossing the chasm, HarperBusiness, New York. 1999.
M Blosch, J Fenn. "Understanding Gartner’s Hype Cycles," 2018.
J Cabero-Almenara, J Barroso-Osuna, R Martinez-Roig. “Mixed, augmented and virtual, reality applied to the teaching of mathematics for architects,” Applied Sciences (Switzerland). 2021; 11(15).
O Dedehayir, M Steinert. “The hype cycle model: A review and future directions,” Technological Forecasting and Social Change. 2016; 108: 28-41.
JY Lee. “A Study on Agile Transformation in the New Digital Age,” International Journal of Advanced Culture Technology. 2020; 8(1): 82-88.
JY Lee. “User Review Mining: An Approach for Software Requirements Evolution,” International journal of advanced smart convergence. 2020; 9(4): 124-131.
ME Roberts, BM Stewart, D Tingley, et al., "The structural topic model and applied social science," in Advances in neural information processing systems workshop on topic models: computation, application, and evaluation, Harrahs and Harveys, Lake Tahoe. 2013.
JY Lee. “A Study on Research Trend Analysis and Topic Class Prediction of Digital Transformation using Text Mining,” International journal of advanced smart convergence. 2019; 8(2): 183-190.
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