Responsible metaverse: Ethical metaverse principles for guiding decision-making and maintaining complex relationships for businesses in 3D virtual spaces
IF 6.7 1区 计算机科学Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Rajat Kumar Behera , Marijn Janssen , Nripendra P. Rana , Pradip Kumar Bala , Debarun Chakraborty
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引用次数: 0
Abstract
A metaverse is a three-dimensional virtual space (3D VS) where businesses and individuals worldwide can engage, interact, communicate, transact, and exchange information in real-time through an immersive and collaborative platform. These interactions can create complex relationships influenced by the decision-making processes of businesses. Such complexity can lead to challenges in maintaining relationships, ensuring exclusiveness, preventing misuse, and addressing other ethical issues. Therefore, this study aims to identify ethical principles within the metaverse to guide decision-making and maintain complex relationships between users and businesses. Both qualitative and quantitative data were collected for analysis, and simple random sampling was employed for primary data collection. The empirical analysis was conducted using a mixed-method approach. The study identified four ethical principles that guide complex relationships within the metaverse: business benefit evaluation, fairness, explainability, and reliability principles. These principles positively influence decision-making, which, in turn, positively affects the maintenance of complex relationships within 3D VS.
元宇宙是一个三维虚拟空间(3D VS),世界各地的企业和个人可以通过一个身临其境的协作平台,在这个虚拟空间中参与、互动、沟通、交易和实时交换信息。这些互动可以创建受企业决策过程影响的复杂关系。这种复杂性可能导致在维护关系、确保排他性、防止滥用和解决其他伦理问题方面的挑战。因此,本研究旨在确定元宇宙中的伦理原则,以指导决策并维护用户与企业之间的复杂关系。本研究收集了定性和定量数据用于分析,并采用简单随机抽样的方法收集原始数据。实证分析采用混合方法进行。研究确定了指导元宇宙中复杂关系的四项伦理原则:商业利益评估、公平性、可解释性和可靠性原则。这些原则对决策产生了积极影响,进而对 3D VS 中复杂关系的维护产生了积极影响。
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).