IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v185y2022ics0040162522006114.html

Digital forest recreation in the metaverse: Opportunities and challenges

Author

Listed:
  • 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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162522006114
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2022.122090?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    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. 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).
    3. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, Enero-Abr.
    4. 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.
    5. Brendan Maher, 2016. "Can a video game company tame toxic behaviour?," Nature, Nature, vol. 531(7596), pages 568-571, March.
    6. 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.
    7. 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.
    8. Araz Taeihagh, 2021. "Governance of artificial intelligence [Application of artificial intelligence for development of intelligent transport system in smart cities]," Policy and Society, Darryl S. Jarvis and M. Ramesh, vol. 40(2), pages 137-157.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    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. Gandhi, Mohina & Gaur, Aakanksha & Kar, Arpan Kumar & Dwivedi, Yogesh K., 2024. "Crafting user experiences in the metaverse: A design science study," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
    3. Reynoso Vanderhorst, Hamlet & Heesom, David & Yenneti, Komali, 2024. "Technological advancements and the vision of a meta smart twin city," Technology in Society, Elsevier, vol. 79(C).
    4. 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).
    5. Eva Sánchez-Amboage & Verónica Crespo-Pereira & Matías Membiela-Pollán & João Paulo Jesús Faustino, 2024. "Tourism marketing in the metaverse: A systematic literature review, building blocks, and future research directions," PLOS ONE, Public Library of Science, vol. 19(5), pages 1-22, May.
    6. 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).
    7. Sorooshian, Shahryar, 2024. "Enhanced methodology to assess business research community serving extended realities movement," Socio-Economic Planning Sciences, Elsevier, vol. 95(C).
    8. Jin, Seunga Venus & Ryu, Ehri, 2025. "Unraveling the dynamics of digital equality and trust in AI-empowered metaverses and AI-VR-convergence," Technological Forecasting and Social Change, Elsevier, vol. 210(C).
    9. Latino, Maria Elena & De Lorenzi, Maria Chiara & Corallo, Angelo & Petruzzelli, Antonio Messeni, 2024. "The impact of metaverse for business model innovation: A review, novel insights and research directions," Technological Forecasting and Social Change, Elsevier, vol. 206(C).
    10. Rajat Kumar Behera & Pradip Kumar Bala & Nripendra P. Rana, 2024. "Reaching new heights: investigating adoption factors shaping the moon landing of metaverse tourism," Information Technology & Tourism, Springer, vol. 26(2), pages 219-253, June.
    11. 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.
    12. Ahmet Atalay & Dalia Perkumienė & Mindaugas Škema & Egidijus Vigricas & Dovilė Čiuldienė & Biruta Švagždiene, 2025. "Evaluating the Role of Metaverse Interactive Technologies in Turkey and Lithuania for a Clean and Sustainable Environment in the Leisure Sector," Sustainability, MDPI, vol. 17(20), pages 1-33, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Grammatikopoulou, Ioanna & Badura, Tomas & Vačkářová, Davina, 2020. "Public preferences for post 2020 agri-environmental policy in the Czech Republic: A choice experiment approach," Land Use Policy, Elsevier, vol. 99(C).
    2. Dumbrell, Nikki P. & Kragt, Marit E. & Gibson, Fiona L., 2016. "What carbon farming activities are farmers likely to adopt? A best–worst scaling survey," Land Use Policy, Elsevier, vol. 54(C), pages 29-37.
    3. Yamada, Katsunori & Sato, Masayuki, 2013. "Another avenue for anatomy of income comparisons: Evidence from hypothetical choice experiments," Journal of Economic Behavior & Organization, Elsevier, vol. 89(C), pages 35-57.
    4. Choi, Andy S., 2013. "Nonmarket values of major resources in the Korean DMZ areas: A test of distance decay," Ecological Economics, Elsevier, vol. 88(C), pages 97-107.
    5. Pfarr, Christian & Schmid, Andreas, 2013. "The political economics of social health insurance: the tricky case of individuals’ preferences," MPRA Paper 44534, University Library of Munich, Germany.
    6. Hasan-Basri, Bakti & Yahya, Nurul & Musa, Rusmani, 2013. "Status Quo Effect and Preferences Uncertainty: A Heteroscedastic Extreme Value (HEV) Model," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 47(1), pages 163-172.
    7. Zgheib, Najib & Abou-Zeid, Maya & Kaysi, Isam, 2020. "Modeling demand for ridesourcing as feeder for high capacity mass transit systems with an application to the planned Beirut BRT," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 70-91.
    8. Domínguez-Torreiro, Marcos & Soliño, Mario, 2011. "Provided and perceived status quo in choice experiments: Implications for valuing the outputs of multifunctional rural areas," Ecological Economics, Elsevier, vol. 70(12), pages 2523-2531.
    9. Juan Carlos Martín & Concepción Román & Cira Mendoza, 2018. "Determinants for sun-and-beach self-catering accommodation selection," Tourism Economics, , vol. 24(3), pages 319-336, May.
    10. Rakatama, Ari & Pandit, Ram & Iftekhar, Sayed & Ma, Chunbo, 2018. "Heterogeneous public preference for REDD+ projects under different forest management regimes," Land Use Policy, Elsevier, vol. 78(C), pages 266-277.
    11. Anastasio J. Villanueva & Klaus Glenk & Macario Rodríguez-Entrena, 2017. "Protest Responses and Willingness to Accept: Ecosystem Services Providers’ Preferences towards Incentive-Based Schemes," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(3), pages 801-821, September.
    12. Carole Ropars-Collet & Philippe Goffe & Qods Lefnatsa, 2021. "Does catch-and-release increase the recreational value of rivers? The case of salmon fishing," Review of Agricultural, Food and Environmental Studies, Springer, vol. 102(4), pages 393-424, December.
    13. Rogers, Abbie A. & Cleland, Jonelle, 2010. "Comparing Scientist and Public Preferences for Conserving Environmental Systems: A Case of the Kimberley’s Tropical Waterways and Wetlands," Research Reports 107579, Australian National University, Environmental Economics Research Hub.
    14. Rinaldo Brau, 2008. "Demand-Driven Sustainable Tourism? A Choice Modelling Analysis," Tourism Economics, , vol. 14(4), pages 691-708, December.
    15. Line Bjørnskov Pedersen & Astrid Kiil & Trine Kjær, 2011. "Soccer Attendees’ Preferences for Facilities at the Fionia Park Stadium: An Application of the Discrete Choice Experiment," Journal of Sports Economics, , vol. 12(2), pages 179-199, April.
    16. Shelly Etzioni & Jamil Hamadneh & Arnór B. Elvarsson & Domokos Esztergár-Kiss & Milena Djukanovic & Stelios N. Neophytou & Jaka Sodnik & Amalia Polydoropoulou & Ioannis Tsouros & Cristina Pronello & N, 2020. "Modeling Cross-National Differences in Automated Vehicle Acceptance," Sustainability, MDPI, vol. 12(22), pages 1-22, November.
    17. Fosgerau, Mogens & Hjort, Katrine & Vincent Lyk-Jensen, Stéphanie, 2007. "An approach to the estimation of the distribution of marginal valuations from discrete choice data," MPRA Paper 3907, University Library of Munich, Germany.
    18. Cranford, Matthew & Mourato, Susana, 2014. "Credit-Based Payments for Ecosystem Services: Evidence from a Choice Experiment in Ecuador," World Development, Elsevier, vol. 64(C), pages 503-520.
    19. Stefania Troiano & Daniel Vecchiato & Francesco Marangon & Tiziano Tempesta & Federico Nassivera, 2019. "Households’ Preferences for a New ‘Climate-Friendly’ Heating System: Does Contribution to Reducing Greenhouse Gases Matter?," Energies, MDPI, vol. 12(13), pages 1-19, July.
    20. Choi, Andy S. & Ritchie, Brent W. & Papandrea, Franco & Bennett, Jeff, 2010. "Economic valuation of cultural heritage sites: A choice modeling approach," Tourism Management, Elsevier, vol. 31(2), pages 213-220.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:tefoso:v:185:y:2022:i:c:s0040162522006114. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.