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User Experience Evaluation in Virtual Reality based on Subjective Feelings and Physiological Signals | |
Niu, Yunfang1![]() ![]() ![]() | |
发表期刊 | JOURNAL OF IMAGING SCIENCE AND TECHNOLOGY
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ISSN | 1062-3701 |
2019-11-01 | |
卷号 | 63期号:6页码:1-11 |
摘要 | At present, the research on emotion in the virtual environment is limited to the subjective materials, and there are very few studies based on objective physiological signals. In this article, the authors conducted a user experiment to study the user emotion experience of virtual reality (VR) by comparing subjective feelings and physiological data in VR and two-dimensional display (2D) environments. First, they analyzed the data of self-report questionnaires, including Self-assessment Manikin (SAM), Positive And Negative Affect Schedule (PANAS) and Simulator Sickness Questionnaire (SSQ). The result indicated that VR causes a higher level of arousal than 2D, and easily evokes positive emotions. Both 2D and VR environments are prone to eye fatigue, but VR is more likely to cause symptoms of dizziness and vertigo. Second, they compared the differences of electrocardiogram (ECG), skin temperature (SKT) and electrodermal activity (EDA) signals in two circumstances. Through mathematical analysis, all three signals had significant differences. Participants in the VR environment had a higher degree of excitement, and the mood fluctuations are more frequent and more intense. In addition, the authors used different machine learning models for emotion detection, and compared the accuracies on VR and 2D datasets. The accuracies of all algorithms in the VR environment are higher than that of 2D, which corroborated that the volunteers in the VR environment have more obvious skin electrical signals, and had a stronger sense of immersion. This article effectively compensated for the inadequacies of existing work. The authors first used objective physiological signals for experience evaluation and used different types of subjective materials to make contrast. They hope their study can provide helpful guidance for the engineering reality of virtual reality. (C) 2019 Society for Imaging Science and Technology. |
DOI | 10.2352/J.ImagingSci.Technol.2019.63.6.060413 |
关键词[WOS] | EMOTION |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National Natural Science Foundation of China[61872363] ; National Natural Science Foundation of China[61562063] ; National Natural Science Foundation of China[61272325] ; National Natural Science Foundation of China[61672507] ; National Key Research and Development Program[2016YFB0401202] ; National Natural Science Foundation of China[61501463] ; National Natural Science Foundation of China[61501463] ; National Key Research and Development Program[2016YFB0401202] ; National Natural Science Foundation of China[61672507] ; National Natural Science Foundation of China[61272325] ; National Natural Science Foundation of China[61562063] ; National Natural Science Foundation of China[61872363] |
WOS研究方向 | Imaging Science & Photographic Technology |
WOS类目 | Imaging Science & Photographic Technology |
WOS记录号 | WOS:000508022200014 |
出版者 | I S & T-SOC IMAGING SCIENCE TECHNOLOGY |
七大方向——子方向分类 | 人工智能+科学 |
国重实验室规划方向分类 | AI For Science |
是否有论文关联数据集需要存交 | 否 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/29498 |
专题 | 多模态人工智能系统全国重点实验室_互联网大数据与信息安全 |
通讯作者 | Wang, Danli |
作者单位 | 1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China 2.Liaoning Normal Univ, Sch Comp & Informat Technol, Dalian, Peoples R China |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Niu, Yunfang,Wang, Danli,Wang, Ziwei,et al. User Experience Evaluation in Virtual Reality based on Subjective Feelings and Physiological Signals[J]. JOURNAL OF IMAGING SCIENCE AND TECHNOLOGY,2019,63(6):1-11. |
APA | Niu, Yunfang,Wang, Danli,Wang, Ziwei,Sun, Fan,Yue, Kang,&Zheng, Nan.(2019).User Experience Evaluation in Virtual Reality based on Subjective Feelings and Physiological Signals.JOURNAL OF IMAGING SCIENCE AND TECHNOLOGY,63(6),1-11. |
MLA | Niu, Yunfang,et al."User Experience Evaluation in Virtual Reality based on Subjective Feelings and Physiological Signals".JOURNAL OF IMAGING SCIENCE AND TECHNOLOGY 63.6(2019):1-11. |
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