Abstract
Virtual reality (VR) continues to make remarkable advances. Many devices and contents for VR systems have been developed. In our previous research, we evaluated the feeling of excitement experienced through VR systems using biosignals and proposed the standard deviation of NN intervals (SDNN) and R-R interval variability (RRV) from electrocardiograms (ECGs) as useful physiological indexes to estimate the degree of feeling. In this paper, we evaluated a commercially available VR animation content developed for PlayStation VR (PSVR). Based on our evaluation results, we constructed models to express the feelings evoked by the events in the content by regression analysis using various physiological indexes of ECG as variables.
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Ito, K., Miura, N., Ohkura, M. (2019). Affective Evaluation of a VR Animation by Physiological Indexes Calculated from ECGs. In: Bagnara, S., Tartaglia, R., Albolino, S., Alexander, T., Fujita, Y. (eds) Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018). IEA 2018. Advances in Intelligent Systems and Computing, vol 827. Springer, Cham. https://doi.org/10.1007/978-3-319-96059-3_36
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DOI: https://doi.org/10.1007/978-3-319-96059-3_36
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