Visualization of balancing systems based on naïve psychological approaches

  • Authors:

  • Akira Notsu;Hidetomo Ichihashi;Katsuhiro Honda;Osamu Katai

  • Affiliations:

  • Osaka Prefecture University, Graduate School of Engineering, Electrical Engineering, and Information Science, 1-1 Gakuen-cho, Naka-ku, Sakai, 599-8531, Osaka, Japan;Osaka Prefecture University, Graduate School of Engineering, Electrical Engineering, and Information Science, 1-1 Gakuen-cho, Naka-ku, Sakai, 599-8531, Osaka, Japan;Osaka Prefecture University, Graduate School of Engineering, Electrical Engineering, and Information Science, 1-1 Gakuen-cho, Naka-ku, Sakai, 599-8531, Osaka, Japan;Kyoto University, Department of Systems Science, Graduate School of Informatics, Yoshida-Honmachi, 606-8501, Kyoto, Japan

  • Venue:
  • AI & Society - Special Issue: Social intelligence design: a junction between engineering and social sciences
  • Year:
  • 2008

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Abstract

In this paper, we propose a novel medium for interactions based on an interpersonal psychological approach referred to as ‘naïve psychology’. We adopt the visual assessment of clustering tendency (VAT) to naïve psychology for the visual understanding of other people. The VAT algorithm produces a visual display that can be used to assess clustering tendencies in a set of persons (notions) by reconstructing a digital image representation of a square relational dissimilarity matrix for its set. This algorithm clearly represents two types of imbalanced situations in naïve psychology: crisp and fuzzy. The visual image of a balanced or imbalance situation is useful for a deeper human understanding.