Transactions of Japan Society of Kansei Engineering
Online ISSN : 1884-5258
ISSN-L : 1884-0833
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Scene Classification of PSVR Content using Principal Component Analysis of Affective Evaluation
Kodai ITONaoki MIURAMichiko OHKURA
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2018 Volume 17 Issue 2 Pages 293-297

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Abstract
In recent years, virtual reality (VR) has made remarkable progress. Then, many devices and contents for VR systems have also actively developed. In our previous research, we evaluated a “feeling of excitement” of VR systems. In this paper, we evaluated a content developed for PSVR. This content has a story and consists of various scenes. We performed a questionnaire for affective evaluation of each scene of this content. However one scene causes various emotions for each player. Therefore, employing principal component analysis for questionnaire results, we classified the scenes of the content by three principal components.
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© 2017 Japan Society of Kansei Engineering
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