Japanese / English

Detail of Publication

Text Language English
Authors Charles Lima Sanches, Olivier Augereau, Koichi Kise
Title Manga content analysis using physiological signals
Journal Proceedings of the 1st International Workshop on coMics ANalysis, Processing and Understanding
Book_Title Proceedings of the 1st International Workshop on coMics ANalysis, Processing and Understanding
Series MANPU '16
Pages pp.6:1--6:6
Number of Pages 6 pages
Publisher ACM
Address New York, NY, USA
Location Cancun, Mexico
Reviewed or not Reviewed
Month & Year December 2016
Abstract 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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