Abstract
In order to verify the way of emotional communication in visual art, we developed an automatic drawing computer program using a simulation algorithm based on the coiling patterns of heteromorph ammonoids. In this program, the plotting point on the computer view window is determined by two components. One is the position of the mouse cursor, which is manipulated by a human operator at every moment and gives the center position for the plotting point in the view window. The other is based on the coiling pattern of heteromorph ammonoids, and gives fluctuation and a coiling pattern to the plotting point in the view window, depending on the movements of the mouse cursor. By using this computer program, we implemented a subjective experiment. Two types of drawing tasks are given to the participant. One is abstract spatial drawing using abstract paintings as references. The other is graphic drawing, using specified figures as references. In the results, a clear difference between the drawing tasks becomes apparent. The participant reached the understanding “I could command this drawing task smoothly” when drawing the abstract spatial drawing even without any prior information about the algorithm of the computer program. When drawing the figures, on the other hand, the participant clearly perceived the difference between the movement of the manipulated mouse and the plotting position in the view window. In this case, the participant perceived that “the computer program disrupted my motion.”
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Acknowledgement
This work was partially supported by a Grant-in-Aid for Scientific Research (B) No. 23320049 from the Japan Society for the Promotion of Science (JSPS). This study has received ethics clearance of Osaka Institute of Technology Life Science Ethics Committee (No. 2013-42).
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Goan, M., Tsujita, K., Kihara, S., Okazaki, K. (2015). The Generation of Emotional Transmission via Medium-Perceiving Drawing System and the Plasticity of Subjects. In: Suzuki, Y., Hagiya, M. (eds) Recent Advances in Natural Computing. Mathematics for Industry, vol 9. Springer, Tokyo. https://doi.org/10.1007/978-4-431-55105-8_7
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DOI: https://doi.org/10.1007/978-4-431-55105-8_7
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