建筑行业采用元数据的障碍建模:模糊-DEMATEL 方法的应用

IF 7.2 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Muhammad Irfan , Abishek Rauniyar , Jin Hu , Atul Kumar Singh , Sathvik Sharath Chandra
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引用次数: 0

摘要

元宇宙的概念在许多不同领域都相当流行,因为它提供了身临其境的虚拟现实,用户可以在其中进行联系和参与。在建筑行业利用元宇宙技术(如虚拟现实和增强现实技术)进行项目可视化、协同设计和模拟培训正引起越来越多的关注。尽管元宇宙技术可能具有各种优势,但在阻碍建筑业普遍接受元宇宙技术的障碍方面,存在着明显的知识真空。本研究旨在通过文献综述和使用模糊-DEMATEL 技术对已发现的障碍进行分析,从而区分它们之间的因果联系,从而填补这一空白。在文献综述和专家意见中发现了 26 个障碍,分别涉及技术、组织、环境、社会和经济方面。研究结果表明,最重要的障碍是安全顾虑、变革阻力、缺乏专业知识、部门各自为政以及培训和教育需求。这项研究的结果为建筑公司和立法者提供了重要的新视角和方向,帮助他们制定计划,消除障碍,鼓励使用元数据技术。此外,研究结果还为业内人士解决数据容量受限这一重要问题提供了路线图,从而使元数据技术更好、更成功地融入建筑方法中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling barriers to the adoption of metaverse in the construction industry: An application of fuzzy-DEMATEL approach

The idea of the metaverse has been rather popular in many different sectors since it provides immersive virtual reality where users may connect and participate. Leveraging metaverse technologies—such as virtual reality and augmented reality—for project visualization, collaborative design, and training simulations—in the building industry is attracting increasing attention. Notwithstanding its possible advantages, there is a clear knowledge vacuum on the obstacles preventing the general acceptance of metaverse technology in building. The study intends to close this gap by means of a literature review and analysis of the identified barriers using the fuzzy-DEMATEL technique, therefore separating the causal links among them. There were 26 obstacles found in the literature review and expert comments, arranged technically, organizationally, environmentally, socially, and economically. The most important obstacles shown by results are Security Concerns, Resistance to Change, Lack of Expertise, Siloed Departments, and Training and Education Needs. The results of this research provide building companies and legislators with important new perspectives and direction in developing plans to remove obstacles and encourage the use of metaverse technology. Moreover, the findings of the study provide a road map for industry players in tackling the important issue of restricted data capacities, thereby enabling a better and more successful integration of metaverse technology into building methods.

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来源期刊
Applied Soft Computing
Applied Soft Computing 工程技术-计算机:跨学科应用
CiteScore
15.80
自引率
6.90%
发文量
874
审稿时长
10.9 months
期刊介绍: Applied Soft Computing is an international journal promoting an integrated view of soft computing to solve real life problems.The focus is to publish the highest quality research in application and convergence of the areas of Fuzzy Logic, Neural Networks, Evolutionary Computing, Rough Sets and other similar techniques to address real world complexities. Applied Soft Computing is a rolling publication: articles are published as soon as the editor-in-chief has accepted them. Therefore, the web site will continuously be updated with new articles and the publication time will be short.
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