TY - JOUR
T1 - Demographic and Behavioral Correlates of Cybersickness: A Large Lab-in-the-Field Study of 837 Participants
AU - Luong, Tiffany
AU - Plechata, Adela
AU - Möbus, Max
AU - Atchapero, Michael
AU - Böhm, Robert
AU - Makransky, Guido
AU - Holz, Christian
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - ybersickness has been one of the main impediments to the widespread adoption of Virtual Reality for decades. It has been argued that several factors can influence the occurrence of cybersickness, such as technical factors, interaction design, but also users' demographics and their perceived presence. Yet, previous studies had comparably small sample sizes and demographically homogeneous samples; comparisons across studies (e.g., regarding demographic factors) are challenging due to the large variation in the studied virtual environments. In this paper, we address these limitations and report the results of a lab-in-the-field experiment on cybersickness with a large and heterogeneous sample of N =837 participants who navigated and interacted inside a virtual environment (ages 18-80, M = 29.34, SD = 9.50, 431 males, 400 females, 6 non-binaries and other). We found that female participants and participants with lower VR experience were more susceptible to experiencing higher levels of cybersickness. Participants' cybersickness levels increased with the time spent in VR and with the distance traversed in the virtual world up to a point, above which reported levels declined. We also found a link between higher levels of cybersickness and reduced head motion, as well as between lower levels of cybersickness and more head motion, which led them to explore more of the virtual environment. In contrast to past studies, we did not find any evidence suggesting an effect of age on cybersickness, nor a negative correlation between presence and cybersickness. Based on our results, we derived a model that achieves a mean classification accuracy of 67.1% for two levels of cybersickness using demographic, user experience, and behavioral data in VR.
AB - ybersickness has been one of the main impediments to the widespread adoption of Virtual Reality for decades. It has been argued that several factors can influence the occurrence of cybersickness, such as technical factors, interaction design, but also users' demographics and their perceived presence. Yet, previous studies had comparably small sample sizes and demographically homogeneous samples; comparisons across studies (e.g., regarding demographic factors) are challenging due to the large variation in the studied virtual environments. In this paper, we address these limitations and report the results of a lab-in-the-field experiment on cybersickness with a large and heterogeneous sample of N =837 participants who navigated and interacted inside a virtual environment (ages 18-80, M = 29.34, SD = 9.50, 431 males, 400 females, 6 non-binaries and other). We found that female participants and participants with lower VR experience were more susceptible to experiencing higher levels of cybersickness. Participants' cybersickness levels increased with the time spent in VR and with the distance traversed in the virtual world up to a point, above which reported levels declined. We also found a link between higher levels of cybersickness and reduced head motion, as well as between lower levels of cybersickness and more head motion, which led them to explore more of the virtual environment. In contrast to past studies, we did not find any evidence suggesting an effect of age on cybersickness, nor a negative correlation between presence and cybersickness. Based on our results, we derived a model that achieves a mean classification accuracy of 67.1% for two levels of cybersickness using demographic, user experience, and behavioral data in VR.
KW - Human computer interaction (HCI)
KW - Human-centered computing
KW - Interaction paradigms
KW - Virtual reality
UR - http://www.scopus.com/inward/record.url?scp=85146423094&partnerID=8YFLogxK
U2 - 10.1109/ISMAR55827.2022.00046
DO - 10.1109/ISMAR55827.2022.00046
M3 - Article
SN - 1554-7868
SP - 307
EP - 316
JO - Mixed and Augmented Reality : Proceedings of the ... IEEE/ACM International Symposium on Mixed and Augmented Reality
JF - Mixed and Augmented Reality : Proceedings of the ... IEEE/ACM International Symposium on Mixed and Augmented Reality
ER -