Affective Doodle: a painting tool reflecting user emotion

  • Authors:
  • Masaki Omata;Daisuke Kanuka;Xiaoyang Mao;Atsumi Imamiya

  • Affiliations:
  • University of Yamanashi, Kofu, Yamanashi, Japan;University of Yamanashi, Kofu, Yamanashi, Japan;University of Yamanashi, Kofu, Yamanashi, Japan;University of Yamanashi, Kofu, Yamanashi, Japan

  • Venue:
  • Proceedings of the ACM Symposium on Applied Perception
  • Year:
  • 2012

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Abstract

We present Affective Doodle as a novel concept of interactive painting which senses the emotion of its user and adapts the drawing parameters to it in real time. As depicted in Figure 1, Affective Doodle is realized by looping through the following 3 Steps: 1. The Sensing step collects the physiological data of the user with the sensors attached to the user. 2. The analysis step applies statistical model to the physiological data to predict the emotion status of the user. 3. The mapping step maps the emotion status to the drawing parameters, such as the color of brush and the shape of canvas.