Toward adaptive VR design: Physiological and cognitive predictors of cybersickness in serious games

Damastuti, Fardani Annisa, Firmansyah, Kenan, Arif, Yunifa Miftachul ORCID: https://orcid.org/0000-0002-2183-0762, Hakkun, Rizky Yanuar and Hariadi, Mochamad (2026) Toward adaptive VR design: Physiological and cognitive predictors of cybersickness in serious games. International Journal of Human–Computer Interaction. pp. 1-19. ISSN 1044-7318

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Abstract

Cybersickness limits the usefulness of virtual reality (VR) for serious games. Multivariate cybersickness prediction has been studied widely, but mostly on tightly controlled stimuli rather than free-play settings. We examined a small set of theory-motivated predictors in a VR fishery-management simulation with 105 participants, recording heart rate variability (HRV), galvanic skin response (GSR), and heart rate (HR), and collecting post-session ratings of cognitive load and session duration. Hierarchical regression on 94 complete cases explained 35.8% of cybersickness variance (R2 = 0.358, F(7,86) = 6.84, p < 0.001). Duration dominated (β = 0.87), followed by cognitive load (β = 0.52) and GSR (β = 0.54); HR was marginal (β = 0.45, p = 0.052); HRV correlated bivariately (r = −0.24) but was attenuated in the multivariate model. Duration, cognitive load, and GSR are candidate inputs for adaptive comfort systems in serious-game VR.

Item Type:	Journal Article
Keywords:	virtual reality; cybersickness; adaptive interfaces; human-centered design; physiological computing
Subjects:	08 INFORMATION AND COMPUTING SCIENCES > 0803 Computer Software > 080305 Multimedia Programming
Divisions:	Faculty of Technology > Department of Informatics Engineering
Depositing User:	Yunifa Miftachul Arif
Date Deposited:	10 Jul 2026 10:22

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