Proceedings of the Annual Conference of JSAI
Online ISSN : 2758-7347
33rd (2019)
Session ID : 1H2-J-13-02
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Evaluation and Analysis of Video Contents Using Physiological Information and VR Environment
Hayato URAJI*Koki MATSUMURAJuan Lorenzo HAGADKen-ichi FUKUIMasayuki NUMAO
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Keywords: ECG, VR, machine learning
CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

By evaluating the effect of the video content, the content creator can know how the viewer felt his work. In this evaluation process, traditionally self-report type questionnaire data has been used. However, since this method involves participant bias, experimenter bias, or human diversity, accurate evaluation is difficult. Also, in order to eliminate these as much as possible, it is necessary to obtain an appropriate subject, which is high cost. In order to deal with these problems, this study proposes a method to complement physiological information in addition to questionnaires when evaluating emotional response to video contents. Specifically, it is a combination of subjective self-report questionnaire and heart rate variability. It is the viewer of short television commercials and news programs that are watched via the VR headset platform. Analysis was done using support vector machine and random forest. As a result, effective models and analysis results were obtained.

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© 2019 The Japanese Society for Artificial Intelligence
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