Validate the Users' Comfortable Level in the Virtual Reality Walkthrough Environment for Minimizing Motion Sickness

被引:0
|
作者
Anua, Muhammad Danish Affan [1 ]
Ismail, Ismahafezi [1 ]
Shapri, Nur Saadah Mohd [1 ]
Hamzah, Wan Mohd Amir Fazamin Wan [1 ]
Amin, Maizan Mat [1 ]
Karim, Fazida [2 ]
机构
[1] Univ Sultan Zainal Abidin, Fac Informat & Comp, Sch Multimedia, Besut, Malaysia
[2] Univ Sultan Zainal Abidin, Fac Business & Management, Sch Management Sci, Besut, Malaysia
关键词
Virtual reality; motion sickness; head-mounted display; head lean movement; mobile VR; walkthrough technique; UTAUT; frame rate; INFORMATION-TECHNOLOGY; ACCEPTANCE;
D O I
10.14569/IJACSA.2023.0140459
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Motion sickness is a common scenario for users when they are exposed to a virtual reality (VR) environment. It is due to the conflict that occurs in the brain that tells the user that they are moving in the environment, but the fact is that the user's body is sitting still causing them to get symptoms of motion sickness like nausea and dizziness. Therefore, motion sickness has become one of the main reasons why users still do not prefer to use VR to enhance their productivity. Motion sickness can be overcome by increasing the user's comfort level of walkthrough in the VR environment. Meanwhile, a popular VR simulation which is widely used in many industries is a walkthrough in a VR environment at a certain speed. This paper is focused on presenting the result of walkthroughs in a VR environment using movement speed and based on frame rates performance and adopting the unified theory of acceptance and use of technology (UTAUT) model construct variables namely performance expectancy (PE) and effort expectancy (EE) to measure the user's comfort level. A mobile VR, 'VR Terrain' application software was developed based on the proposed framework. The application software was tested by 30 users by moving around in a VR environment with 4 different movement speeds that were implemented into four colored gates using a head-mounted display (HMD). A descriptive and coefficient analysis was used to analyze all the data. The blue gate revealed the most comfortable, outperforming all other three gates. Overall, the most suitable speed to use for VR walkthrough is 4.0 km/h. The experiment result may be used to create a parameter for the VR developers to reduce the VR motion sickness effect in the future.
引用
收藏
页码:539 / 547
页数:9
相关论文
共 50 条
  • [31] Demand characteristics in assessing motion sickness in a virtual environment: Or does taking a motion sickness questionnaire make you sick?
    Young, Sean D.
    Adelstein, Bernard D.
    Ellis, Stephen R.
    IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2007, 13 (03) : 422 - 428
  • [32] Virtual reality body motion induced navigational controllers and their effects on simulator sickness and pathfinding
    Aldaba, Cassandra N.
    White, Paul J.
    Byagowi, Ahmad
    Moussavi, Zahra
    2017 39TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2017, : 4175 - 4178
  • [33] A comprehensive exploration of motion sickness process analysis from EEG signal and virtual reality
    Feng, Naishi
    Zhou, Bin
    Zhang, Qianqian
    Hua, Chengcheng
    Yuan, Yue
    COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2025, 264
  • [34] The Effect of Motion Direction and Eccentricity on Vection, VR Sickness and Head Movements in Virtual Reality
    Pohlmann, Katharina Margareta Theresa
    Focker, Julia
    Dickinson, Patrick
    Parke, Adrian
    O'Hare, Louise
    MULTISENSORY RESEARCH, 2021, 34 (06) : 623 - 662
  • [35] The effect of motion sickness on presence and user experience for head-mounted virtual reality
    Chen, Yung-Cheng
    Sun, Huey-Min
    Shih, Yu-Hsiang
    INTERNATIONAL JOURNAL OF HUMAN FACTORS AND ERGONOMICS, 2022, 9 (02) : 111 - 127
  • [36] A comparative study of cybersickness during exposure to virtual reality and "classic" motion sickness: are they different?
    Gavgani, Alireza Mazloumi
    Walker, Frederick R.
    Hodgson, Deborah M.
    Nalivaiko, Eugene
    JOURNAL OF APPLIED PHYSIOLOGY, 2018, 125 (06) : 1670 - 1680
  • [37] WIM: Fast Locomotion in Virtual Reality with Spatial Orientation Gain & without Motion Sickness
    Berger, Laurenz
    Wolf, Katrin
    17TH INTERNATIONAL CONFERENCE ON MOBILE AND UBIQUITOUS MULTIMEDIA (MUM 2018), 2018, : 19 - 24
  • [38] Assessment of Virtual Reality Motion Sickness Severity Based on EEG via LSTM/BiLSTM
    Hua, Chengcheng
    Chai, Lining
    Yan, Ying
    Liu, Jia
    Wang, Qiaoxiu
    Fu, Rongrong
    Zhou, Zhanfeng
    IEEE SENSORS JOURNAL, 2023, 23 (20) : 24839 - 24848
  • [39] Strategies for reducing motion sickness in virtual reality through improved handheld controller movements
    Tang, Khang Yeu
    Yu, Ge
    Wang, Juhong
    He, Yu
    Xu, Sen-Zhe
    Zhang, Song-Hai
    GRAPHICAL MODELS, 2025, 138
  • [40] Spatiotemporal multi-feature evaluation of visually induced motion sickness in virtual reality
    Dong Q.
    Yu M.
    Jiang Z.
    Lu Z.
    Jiang G.
    Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2024, 32 (04): : 595 - 608