Exploring human-machine collaboration in metaverse communities: utilitarian vs. hedonic dimensions in enhancing user immersion
本研究利用Meta元宇宙社区论坛的大规模数据，通过文本挖掘和机器学习量化用户披露中的实用与享乐维度，发现两者均有助于沉浸感，但享乐维度在经验丰富用户和产品生命周期后期更突出，而实用维度对新用户更重要。
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.