影响使用虚拟现实控制肥胖的社会人口因素分析

IF 4.1 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Mona A. Alduailij, W. Alhalabi, Mai A. Alduailij, Amal Al-Rashee, Eatedal Alabdulkareem, Seham Saad Alharb
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引用次数: 2

摘要

肥胖是当今社会最紧迫的问题之一。虚拟现实已被用于设计促进肥胖控制的工具。然而,当前虚拟现实工具的设计缺乏潜在用户和卫生从业人员的参与。这种参与对于收集语义信息至关重要,这些信息可确定利益攸关方的需求,并确保考虑到卫生的所有方面。因此,本文旨在研究社会人口学因素和个人层面的特征和偏好,这些因素使任何肥胖控制VR工具的设计都能有效地满足广大用户的需求。本文还旨在征求健康从业者的意见,以确定在设计任何用于肥胖控制的VR工具时应该提供的最佳健康方面。组织、企业和个人将能够很容易地在语义网以及个人和移动设备上增强这种VR技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analyzing the Sociodemographic Factors Impacting the Use of Virtual Reality for Controlling Obesity
Obesity is one of the most pressing issues in society today. Virtual reality has been used in the design of tools that promotes obesity control. However, the design of current VR tools lacks the involvement of prospective users and health practitioners. Such engagement is crucial in gathering semantic information that identifies stakeholders’ needs and ensures that all aspects of health are considered. Therefore, this paper aims to study the sociodemographic factors and individual-level characteristics and preferences that make the design of any obesity-control VR tool effective and satisfactory for a wide range of users. The paper also aims to solicit opinions of health practitioners to identify best health aspects that should be available in the design of any VR tool for obesity control. Organizations, businesses, and people will be able to readily augment such VR technologies on the semantic web, as well as on personal and mobile devices.
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来源期刊
CiteScore
6.20
自引率
12.50%
发文量
51
审稿时长
20 months
期刊介绍: The International Journal on Semantic Web and Information Systems (IJSWIS) promotes a knowledge transfer channel where academics, practitioners, and researchers can discuss, analyze, criticize, synthesize, communicate, elaborate, and simplify the more-than-promising technology of the semantic Web in the context of information systems. The journal aims to establish value-adding knowledge transfer and personal development channels in three distinctive areas: academia, industry, and government.
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