通过后视镜展望未来:从社会技术想象的视角,展望超越炒作的 Metaverse

IF 6.7 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Madaleine H.S. Hunt, Spyros Angelopoulos
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引用次数: 0

摘要

我们以联合网络的理论基础为基础,采用社会技术想象的视角,通过对过去的理解和对现在的评估,展望元宇宙的未来。在此过程中,我们采用了两步方法论,包括采访 Metaverse 发展方面的专家,以及对现有联盟网络发展档案数据进行历史分析。我们的综合数据分析揭示了元宇宙发展的四个基本特征,这四个特征往往同时发挥作用。通过分析已确定的核心特征之间的关系,我们进一步揭示了元网络未来发展的两个关键启示。第一个启示是,联合网络的基本特征是动态性。我们的第二个见解是,通过承认这种动态性,我们可以更好地理解元宇宙的发展不会遵循线性发展,因为一个核心特征的发展可能会影响其他特征的发展。我们将讨论我们的工作对理论和实践的影响,并为未来的相关研究制定议程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Looking forward through the rear-view mirror: A socio-technical imaginaries perspective for envisioning the Metaverse beyond the hype
We build upon the theoretical underpinnings of federated networks and adopt a socio-technical imaginaries perspective to envision the future of the Metaverse, informed by an understanding of the past and an assessment of the present. In doing so, we employ a two-step methodological approach that includes interviews with experts on Metaverse development, complemented by a historical analysis of archival data on the development of existing federated networks. Our combined data analysis unearthed four characteristics essential for the development of the Metaverse, which often operate in conjunction. By analyzing the relationship among the identified core characteristics, we further unpack two key insights for the future development of the Metaverse. Our first insight is that the fundamental attribute of federated networks is dynamism. Our second insight is that by acknowledging this dynamism, we can better understand that the development of the Metaverse will not follow a linear progression, as the development of a core characteristic may affect the advancement of others. We discuss the implications of our work for theory as well as practice and delineate an agenda for future research on the topic.
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来源期刊
Decision Support Systems
Decision Support Systems 工程技术-计算机:人工智能
CiteScore
14.70
自引率
6.70%
发文量
119
审稿时长
13 months
期刊介绍: The common thread of articles published in Decision Support Systems is their relevance to theoretical and technical issues in the support of enhanced decision making. The areas addressed may include foundations, functionality, interfaces, implementation, impacts, and evaluation of decision support systems (DSSs).
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