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Affective Evaluation of a VR Animation by Physiological Indexes Calculated from ECGs

  • Kodai Ito
  • Naoki Miura
  • Michiko Ohkura
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 827)

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.

Keywords

Affective evaluation Virtual reality ECG 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.National Institute of Advanced Industrial Science and TechnologyKoto-ku, TokyoJapan
  2. 2.Shibaura Institute of TechnologyKoto-kuJapan

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