Virtual Reality Assessment and Customization Using Physiological Measures: A Literature Analysis

被引:6
作者
Wood, Kody [1 ]
Uribe-Quevedo, Alvaro [1 ]
Penuela, Lina [2 ]
Perera, Sharman [1 ]
Kapralos, Bill [1 ]
机构
[1] Ontario Tech Univ Oshawa, Oshawa, ON, Canada
[2] Univ Militar Nueva Granada, Bogota, Colombia
来源
PROCEEDINGS OF SYMPOSIUM ON VIRTUAL AND AUGMENTED REALITY, SVR 2021 | 2021年
基金
加拿大自然科学与工程研究理事会;
关键词
customization; physiological measures; usability; virtual reality; STRESS; SYSTEM; ENVIRONMENTS; PERFORMANCE; IMMERSION; USABILITY;
D O I
10.1145/3488162.3488228
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Understanding the user experience requires gathering self-reported and physiological information. In Virtual Reality (VR), heart rate, skin responses, gaze, brain, and muscle activity can provide a better understanding of how users process perceptual cues and respond to them. While the use of physiological measures is typically done for the assessment and improvement of the user experience, recent trends have shown their application for customizing VR experiences to the unique responses of the users. The purpose of this literature review is to analyze the use of physiological measures in VR customization to identify the state of the art, gaps, and opportunities. A total of 25 articles from indexed journals found in Scopus, PubMed, Web of Science, and IEEE, in addition to top tier conferences such as IEEE VR and CHI within the last five years were reviewed. The review indicates that while assessment continues to be a main field of application of physiological measures, the recent availability of consumer-level VR and the growth of ubiquitous physiological sensors are enabling their use as user input devices for customized and adaptive user experiences.
引用
收藏
页码:64 / 73
页数:10
相关论文
共 55 条
  • [1] Adhanom IB, 2020, 2020 IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES (VR 2020), P645, DOI [10.1109/VR46266.2020.00-17, 10.1109/VR46266.2020.1581314696458]
  • [2] Ambinder Mike., 2009, Valve's approach to playtesting: The application of empiricism
  • [3] Arnold Peter, 2017, P 2017 CHI C EXTENDE, P206
  • [4] Berkman M.I., 2019, ENCY COMPUTER GRAPHI, P1, DOI DOI 10.1007/978-3-319-08234-9_162-1
  • [5] Toward Emotionally Adaptive Virtual Reality for Mental Health Applications
    Bermudez i Badia, Sergi
    Quintero, Luis Velez
    Cameirao, Monica S.
    Chirico, Alice
    Triberti, Stefano
    Cipresso, Pietro
    Gaggioli, Andrea
    [J]. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2019, 23 (05) : 1877 - 1887
  • [6] Bevan N., 1991, Human Aspects in Computing. Design and Use of Interactive Systems and Work with Terminals. Proceedings of the Fourth International Conference on Human-Computer Interaction, P651
  • [7] Design of a Physiology-based Adaptive Virtual Reality Driving Platform for Individuals with ASD
    Bian, Dayi
    Wade, Joshua
    Swanson, Amy
    Weitlauf, Amy
    Warren, Zachary
    Sarkar, Nilanjan
    [J]. ACM TRANSACTIONS ON ACCESSIBLE COMPUTING, 2019, 12 (01)
  • [8] Measuring mental workload using physiological measures: A systematic review
    Charles, Rebecca L.
    Nixon, Jim
    [J]. APPLIED ERGONOMICS, 2019, 74 : 221 - 232
  • [9] Assessing the Influence of Visual-Taste Congruency on Perceived Sweetness and Product Liking in Immersive VR
    Chen, Yang
    Huang, Arya Xinran
    Faber, Ilona
    Makransky, Guido
    Perez-Cueto, Federico J. A.
    [J]. FOODS, 2020, 9 (04)
  • [10] Design of Virtual Reality-Enabled Surface Electromyogram-Triggered Grip Exercise Platform
    Dash, Adyasha
    Lahiri, Uttama
    [J]. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2020, 28 (02) : 444 - 452