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Exploring human-machine collaboration in metaverse communities: utilitarian vs. hedonic dimensions in enhancing user immersion

Author

Listed:
  • Yang, Mu
  • Amankwah-Amoah, Joseph
  • Han, Chunjia
  • Gupta, Brij B.

Abstract

This study explores the role of human–machine collaboration in shaping user immersion within metaverse communities, focusing on the shift between utilitarian and hedonic orientation. Using a large-scale dataset from Meta’s metaverse community forum, we employed text mining and machine learning techniques to quantify the utilitarian and hedonic dimensions within user disclosure. The findings identified specific areas under each dimension and revealed that both dimensions contribute meaningfully to immersion, but their emphasis varies across user experience levels and over time. Specifically, hedonic dimensions become more dominant among experienced users and over the product lifecycle, while utilitarian considerations are more salient for new users. Furthermore, the study identified a positive relationship between hedonic experiences and evoking resonance on the forum. The paper discusses the implications of understanding utilitarian and hedonic dimensions related to enhancing consumers’ immersion experience and optimising human–machine interactions.

Suggested Citation

  • Yang, Mu & Amankwah-Amoah, Joseph & Han, Chunjia & Gupta, Brij B., 2025. "Exploring human-machine collaboration in metaverse communities: utilitarian vs. hedonic dimensions in enhancing user immersion," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 204(C).
    • Handle: RePEc:eee:transe:v:204:y:2025:i:c:s1366554525004648
    DOI: 10.1016/j.tre.2025.104423
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