@inproceedings{80b51d336f974c49a4afaf26538b4a64,
title = "Mental Workload Evaluation of Virtual Object Manipulation on WebVR: An EEG Study",
abstract = "Virtual object manipulation as a key feature has been studied in virtual reality (VR) environments. Previous studies highlighted user experience on three basic types of virtual object manipulation, translation, rotation and scaling. However, prior literature mainly studied task performance in manipulation modes with different degrees of freedom (DoF), and few studies assessed user experience by evaluating the psychological response, such as mental workload on these three basic manipulation types in virtual environments. This paper compared manipulation modes with 1DoF and 3DoF to assess users' mental workload as a critical indicator of user experience by electroencephalogram (EEG) measurement and questionnaires in manipulation tasks on the webpage with VR effects (also known as WebVR). By applying signal processing and statistical methods to analyze EEG data from ten subjects, the results demonstrated that the participants generally perceive less mental workload by 1DoF manipulation modes than 3DoF on WebVR. Besides, this study also found some different results between objective and subjective data.",
keywords = "EEG, WebVR, mental workload, user experience, virtual object manipulation",
author = "Wenxin Sun and Mengjie Huang and Rui Yang and Ji Han and Yong Yue",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 14th International Conference on Human System Interaction, HSI 2021 ; Conference date: 08-07-2021 Through 10-07-2021",
year = "2021",
month = jul,
day = "8",
doi = "10.1109/HSI52170.2021.9538783",
language = "English",
series = "International Conference on Human System Interaction, HSI",
publisher = "IEEE Computer Society",
editor = "Adam Bujnowski and Mariusz Kaczmarek and Jacek Ruminski",
booktitle = "14th International Conference on Human System Interaction, HSI 2021 - Proceedings",
}