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Digital forest recreation in the metaverse: Opportunities and challenges

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  • Jaung, Wanggi

Abstract

The metaverse could provide a new way of interacting with nature through immersive three-dimensional virtual worlds. This digital nature recreation has the potential to shape users' perceptions, knowledge, and behavior toward nature. Despite this potential, its user demand is currently unknown. This study analyzes the demand for digital forest recreation in the metaverse by conducting a discrete choice experiment with university students as potential metaverse users to fill this knowledge gap. The study results revealed that users preferred digital forest recreation to experience outdoor adventure and a nature-based digital twin in the metaverse, indicating that digital forest recreation has the potential to influence human-nature interactions. The students required responsible and immersive metaverse platforms for digital forest recreation that were not subject to invasions of user privacy (e.g., selling big data of users), biased algorithms (e.g., racism), algorithms selling virtual goods, cyberaggression (e.g., trolling), and less immersive virtual experiences. These findings highlight both opportunities and challenges for creating user-centered digital forest recreation in the metaverse. The research contributes to understanding potential interactions between technological, social, and ecological systems.

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  • Jaung, Wanggi, 2022. "Digital forest recreation in the metaverse: Opportunities and challenges," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    • Handle: RePEc:eee:tefoso:v:185:y:2022:i:c:s0040162522006114
    DOI: 10.1016/j.techfore.2022.122090
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    1. Barnes, Stuart J. & Mattsson, Jan & Hartley, Nicole, 2015. "Assessing the value of real-life brands in Virtual Worlds," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 12-24.
    2. Choi, Hee-soo & Kim, Sang-heon, 2017. "A content service deployment plan for metaverse museum exhibitions—Centering on the combination of beacons and HMDs," International Journal of Information Management, Elsevier, vol. 37(1), pages 1519-1527.
    3. Peter Bauer & Bjorn Stevens & Wilco Hazeleger, 2021. "A digital twin of Earth for the green transition," Nature Climate Change, Nature, vol. 11(2), pages 80-83, February.
    4. Nakavachara, Voraprapa & Saengchote, Kanis, 2022. "Does unit of account affect willingness to pay? Evidence from metaverse LAND transactions✰," Finance Research Letters, Elsevier, vol. 49(C).
    5. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    6. Brendan Maher, 2016. "Can a video game company tame toxic behaviour?," Nature, Nature, vol. 531(7596), pages 568-571, March.
    7. Joan L. Walker & Yanqiao Wang & Mikkel Thorhauge & Moshe Ben-Akiva, 2018. "D-efficient or deficient? A robustness analysis of stated choice experimental designs," Theory and Decision, Springer, vol. 84(2), pages 215-238, March.
    8. Ian J. Bateman & Richard T. Carson & Brett Day & Michael Hanemann & Nick Hanley & Tannis Hett & Michael Jones-Lee & Graham Loomes, 2002. "Economic Valuation with Stated Preference Techniques," Books, Edward Elgar Publishing, number 2639.
    9. Kuhlmann, Stefan & Stegmaier, Peter & Konrad, Kornelia, 2019. "The tentative governance of emerging science and technology—A conceptual introduction," Research Policy, Elsevier, vol. 48(5), pages 1091-1097.
    10. Bonnie L. Keeler & Perrine Hamel & Timon McPhearson & Maike H. Hamann & Marie L. Donahue & Kelly A. Meza Prado & Katie K. Arkema & Gregory N. Bratman & Kate A. Brauman & Jacques C. Finlay & Anne D. Gu, 2019. "Social-ecological and technological factors moderate the value of urban nature," Nature Sustainability, Nature, vol. 2(1), pages 29-38, January.
    11. Fuller, Christie M. & Simmering, Marcia J. & Atinc, Guclu & Atinc, Yasemin & Babin, Barry J., 2016. "Common methods variance detection in business research," Journal of Business Research, Elsevier, vol. 69(8), pages 3192-3198.
    12. Pamucar, Dragan & Deveci, Muhammet & Gokasar, Ilgin & Tavana, Madjid & Köppen, Mario, 2022. "A metaverse assessment model for sustainable transportation using ordinal priority approach and Aczel-Alsina norms," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    13. Barnes, Stuart J. & Pressey, Andrew D., 2016. "Cyber-mavens and online flow experiences: Evidence from virtual worlds," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 285-296.
    14. Herz, Marc & Rauschnabel, Philipp A., 2019. "Understanding the diffusion of virtual reality glasses: The role of media, fashion and technology," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 228-242.
    15. Daly, Andrew & Dekker, Thijs & Hess, Stephane, 2016. "Dummy coding vs effects coding for categorical variables: Clarifications and extensions," Journal of choice modelling, Elsevier, vol. 21(C), pages 36-41.
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    1. Peschel, Anne O. & Frank, Darius-Aurel & Blumenkranz, Daniel & Steinmann, Sascha, 2024. "Visual fidelity in the metaverse matters for memory performance," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
    2. Kuo, Hsin-Tsz & Choi, Tsan-Ming, 2024. "Metaverse in transportation and logistics operations: An AI-supported digital technological framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 185(C).
    3. Mkedder, Nadjim & Das, Manish, 2024. "Metaverse integration challenges: An in-depth ISM and MICMAC analysis," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
    4. Po-Yuan Su & Peng-Wei Hsiao & Kuo-Kuang Fan, 2023. "Investigating the Relationship between Users’ Behavioral Intentions and Learning Effects of VR System for Sustainable Tourism Development," Sustainability, MDPI, vol. 15(9), pages 1-27, April.

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