"你感觉不舒服吗?虚拟现实中的网络病症系统文献综述

IF 23.8 1区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS
Nilotpal Biswas, Anamitra Mukherjee, Samit Bhattacharya
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引用次数: 0

摘要

晕动症(CS),又称视觉诱发晕动病(VIMS),是一种在与虚拟现实(VR)技术交互时可能影响个人的病症。这种症状的特点是恶心、头晕、头痛、眼睛疲劳等,可由多种因素引起。找到一种可行的解决方案来减少 CS 的影响极为重要,因为这将大大提升用户的整体体验,使 VR 对更多人更具吸引力。我们精心编制了一份包含 223 项高度相关研究的清单,以回顾有关 CS 最基本方面的研究现状。我们提供了一个新颖的分类法,囊括了文献中发现的 CS 测量技术的各个方面。我们为开发人员和用户提出了一套 CS 缓解指南。我们还讨论了各种诱发 CS 的因素,并提供了一个试图捕捉这些因素的分类法。总之,我们的工作全面概述了 CS 的研究现状,特别强调了不同的测量技术和 CS 缓解策略,确定了文献中的研究空白,并为该领域的未来研究提供了建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
“Are you feeling sick?” A systematic literature review of cybersickness in virtual reality

Cybersickness (CS), also known as visually induced motion sickness (VIMS) is a condition that can affect individuals when they interact with virtual reality (VR) technology. This condition is characterized by symptoms such as nausea, dizziness, headaches, eye fatigue, etc., and can be caused by a variety of factors. Finding a feasible solution to reduce the impact of CS is extremely important as it will greatly enhance the overall user experience and make VR more appealing to a wider range of people. We have carefully compiled a list of 223 highly pertinent studies to review the current state of research on the most essential aspects of CS. We have provided a novel taxonomy that encapsulates various aspects of CS measurement techniques found in the literature. We have proposed a set of CS mitigation guidelines for both developers and users. We have also discussed various CS-inducing factors and provided a taxonomy that tries to capture the same. Overall, our work provides a comprehensive overview of the current state of research in CS with a particular emphasis on different measurement techniques and CS mitigation strategies, identifies research gaps in the literature, and provides recommendations for future research in the field.

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来源期刊
ACM Computing Surveys
ACM Computing Surveys 工程技术-计算机:理论方法
CiteScore
33.20
自引率
0.60%
发文量
372
审稿时长
12 months
期刊介绍: ACM Computing Surveys is an academic journal that focuses on publishing surveys and tutorials on various areas of computing research and practice. The journal aims to provide comprehensive and easily understandable articles that guide readers through the literature and help them understand topics outside their specialties. In terms of impact, CSUR has a high reputation with a 2022 Impact Factor of 16.6. It is ranked 3rd out of 111 journals in the field of Computer Science Theory & Methods. ACM Computing Surveys is indexed and abstracted in various services, including AI2 Semantic Scholar, Baidu, Clarivate/ISI: JCR, CNKI, DeepDyve, DTU, EBSCO: EDS/HOST, and IET Inspec, among others.
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