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Free keywords:
Human-centeredcomputing, Human computer interaction (HCI), HCI design and evaluation methods, Laboratory experiments, Applied computing, Life and medical sciences, Consumer health
Abstract:
Emotional arousal is a key component of a user’s experience in immersive virtual reality (VR). Subjective and highly dynamic in na- ture, emotional arousal involves the whole body and particularly the brain. However, it has been difficult to relate subjective emotional arousal to an objective, neurophysiological marker—especially in naturalistic settings. We tested the association between continuously changing states of emotional arousal and oscillatory power in the brain during a VR roller coaster experience. We used novel spatial filtering approaches to predict self-reported emotional arousal from the electroencephalogram (EEG) signal of 38 participants. Periods of high vs. low emotional arousal could be classified with accuracies significantly above chance level. Our results are consistent with prior findings regarding emotional arousal in less naturalistic settings. We demonstrate a new approach to decode states of subjective emotional arousal from continuous EEG data in an immersive VR experience.
