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論文タイトル：Estimating Imagined Colors from Different Music Genres with Eye-Tracking
著者：Junjie Shan, Taijiro Nishizawa, and Yoko Nishihara
概要：Music brings different feelings with different genres and types, and people would imagine different colors from those feelings. This has brought about a long-standing interest in the correspondence between colors and music. In this study, we propose a method that uses the eye-tracking device to record and estimate the colors that users imagined from listening to music. By showing randomly generated color tiles to music-listening users and asking them to find the colors they imagined from the music, we record the colors that users have gazed at through an eye-tracking system and estimate the colors that users have imagined with a clustering analysis algorithm. With this method, we can intuitively compare and analyze the correlation between music and color that is perceived by people without involving complex audio signal processing or expert music theories. Through an experiment with 10 participants of Japanese university students using a total of 18 songs in six categories of male vocals and female vocals of Rock, Ballad, and Pop music, we found that people would imagine similar colors when listening to the same music genres. Among the users’ gazed color records from the same music genre, the genre of the male-vocal rock had the most concentrated imagine-color, while the imagined color of the female-vocal ballad was the most dispersed.
書誌情報：KES2024
発表日：2024年9月11日