Exploring Blink-Rate Behaviors for Cybersickness Detection in VR

被引：0

作者：

Lopes, Phil ^{[1
]}

Tian, Nana ^{[1
]}

Boulic, Ronan ^{[1
]}

机构：

[1] Ecole Polytech Fed Lausanne, Lausanne, Switzerland

来源：

2020 IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES WORKSHOPS (VRW 2020) | 2020年

关键词：

Human-centered computing; Human Computer Interaction (HCI); Interaction Paradigms; Virtual Reality; HCI design and evaluation methods; User Studies;

D O I：

10.1109/VRW50115.2020.00-27

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Cybersickness continues to be one of the main barriers for mainstream adoption of Virtual Reality (VR). Despite the wealth of research available on this topic, it is still an unsolved problem. This paper explores the potential influence of cybersickness over the course of a VR experience on player Blink-Rate. This investigation was conducted on the same VR task with two diverging control schemes with a low or high risk of inducing cybersickness. A total of 34 participant data was collected from two separate playing sessions. Although no significant differences were observed, sick individuals showed to have a higher blink-rate frequency over the course of the VR experience while non-sick individuals presented a more stable blink-rate frequency.

引用

页码：795 / 796

页数：2

共 33 条

[11] A Dataset for Exploring User Behaviors in VR Spherical Video Streaming
Wu, Chenglei
Tan, Zhihao
Wang, Zhi
Yang, Shiqiang
PROCEEDINGS OF THE 8TH ACM MULTIMEDIA SYSTEMS CONFERENCE (MMSYS'17), 2017, : 193 - 198
[12] Exploring the feasibility of mitigating VR-HMD-induced cybersickness using cathodal transcranial direct current stimulation
Li, Gang
Varela, Francisco Macia
Habib, Abdullah
Zhang, Qi
McGill, Mark
Brewster, Stephen
Pollick, Frank
2020 IEEE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND VIRTUAL REALITY (AIVR 2020), 2020, : 123 - 129
[13] Eye-Blink rate detection for fatigue determination
Haq, Zeeshan Ali
Hasan, Ziaul
2016 1ST INDIA INTERNATIONAL CONFERENCE ON INFORMATION PROCESSING (IICIP), 2016,
[14] VR-LENS: Super Learning-based Cybersickness Detection and Explainable AI-Guided Deployment in Virtual Reality
Kundu, Ripan Kumar
Elsaid, Osama Yahia
Calyam, Prasad
Hoque, Khaza Anuarul
PROCEEDINGS OF 2023 28TH ANNUAL CONFERENCE ON INTELLIGENT USER INTERFACES, IUI 2023, 2023, : 819 - 834
[15] Exploring Eye Tracking as a Measure for Cognitive Load Detection in VR Locomotion
Gao, Hong
Kasneci, Enkelejda
PROCEEDINGS OF THE 2024 ACM SYMPOSIUM ON EYE TRACKING RESEARCH & APPLICATIONS, ETRA 2024, 2024,
[16] Involuntary-Blink Detection Method Robust Against Dynamically Change of Frame Rate
Miyakawa, Tatsuhiko
Tsuruoka, Kouhei
Toda, Takeshi
6TH BIOMEDICAL ENGINEERING INTERNATIONAL CONFERENCE (BMEICON 2013), 2013,
[17] Eye Blink Rate Based Detection of Cognitive Impairment Using In-the-wild Data
Alzahrani, Fatimah
Mirheidari, Bahman
Blackburn, Daniel
Maddock, Steve
Christensen, Heidi
2021 9TH INTERNATIONAL CONFERENCE ON AFFECTIVE COMPUTING AND INTELLIGENT INTERACTION (ACII), 2021,
[18] Exploring Sensor Modalities to Capture User Behaviors for Reading Detection
Islam, Md Rabiul
Vargo, Andrew W.
Iwata, Motoi
Iwamura, Masakazu
Kise, Koichi
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2022, E105D (09) : 1629 - 1633
[19] Exploring the Tradeoff Between Power and Detection Rate for a Face Detection Algorithm
Hu, Kai-Ti
Pai, Yu-Ting
Ruan, Shanq-Jang
ICIEA: 2009 4TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOLS 1-6, 2009, : 3610 - 3613
[20] Detection of eye strain through blink rate and sclera area using raspberry-pi
Reddy, Alla Phani Charm
Sandilya, B. V. H.
Fathima, A. Annis
IMAGING SCIENCE JOURNAL, 2019, 67 (02): : 90 - 99

← 1 2 3 4 →