虚拟现实环境中的嗅觉显示设计综述

IF 23.8 1区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS ACM Computing Surveys Pub Date : 2024-05-15 DOI:10.1145/3665243
Jordan Tewell, Nimesha Ranasinghe
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引用次数: 0

摘要

虚拟现实领域不断发展,为用户提供越来越强的沉浸感。然而,虚拟现实体验仍然主要受限于人类的视觉和听觉,人们对触觉(主要是振动触觉)应用也有一些兴趣。直到最近,人们才开始研究嗅觉显示器--生成和传递气味刺激的技术--,以便在虚拟环境中为人类嗅觉器官提供嗅觉。本文对嗅觉增强型虚拟现实系统进行了分类和综述,尤其是那些采用头戴式显示器(HMD)或洞穴自动虚拟环境(CAVE)系统的虚拟现实系统。此外,本文还讨论了开发适合增强虚拟现实体验的嗅觉显示器所面临的各种技术和设计挑战。最后,本文提出了该领域的未来展望,并以表格的形式总结了所审查系统的特点和功能。
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A Review of Olfactory Display Designs for Virtual Reality Environments
The field of Virtual Reality continues to evolve to provide an ever-greater sense of immersion to the user. However, VR experiences are still primarily constrained through the human senses of vision and audition, with some interest in haptic (mainly vibrotactile) applications. Only recently have olfactory displays- technologies that generate and deliver scent stimuli- been examined to provide the sense of smell to the human olfactory organ in virtual environments. This paper presents a classification and review of olfactory-enhanced virtual reality systems, particularly those that deployed a Head-Mounted Display (HMD) or Cave Automatic Virtual Environment (CAVE) system. In addition, the paper provides a discussion of the various technological and design challenges for developing an olfactory display suitable for enhancing virtual reality experiences. Finally, the paper proposes future perspectives on the field and includes a table summarizing the characteristics and features of the reviewed systems.
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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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