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文献の詳細

論文の言語 英語
著者 Charles Lima Sanches, Olivier Augereau, Koichi Kise
論文名 Manga content analysis using physiological signals
論文誌名 Proceedings of the 1st International Workshop on coMics ANalysis, Processing and Understanding
書名 Proceedings of the 1st International Workshop on coMics ANalysis, Processing and Understanding
Series MANPU '16
ページ pp.6:1--6:6
ページ数 6 pages
出版社 ACM
出版社の住所 New York, NY, USA
発表場所 Cancun, Mexico
査読の有無
年月 2016年12月
要約 Recently, the physiological signals have been analyzed more and more, especially in the context of everyday life activities such as watching video or looking at pictures. Tracking these signals gives access to the mental state of the user (interest, tiredness, stress) but also to his emotions (sadness, fright, happiness). The analysis of the reader's physiological signals during reading can provide a better understanding of the reader's feelings but also a better understanding of the documents. Our main research direction is to find the relationship between a change in the reader's physiological signal and the content of the reading. As a first step, we investigate whether it is possible to distinguish a manga (Japanese comic book) from another by analyzing the physiological signals of the reader. We use 3 different manga genres (horror, romance, comedy) and try to predict which one is read by analyzing the features extracted from the physiological signals of the reader. Our method uses the blood volume pulse, the electrodermal activity and the skin temperature of the reader while reading. We show that by using these physiological signals with a support vector machine we can retrieve which manga has been read with a 90% average accuracy.
DOI 10.1145/3011549.3011555
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