AI & SOCIETY

, Volume 23, Issue 2, pp 281–296 | Cite as

Visualization of balancing systems based on naïve psychological approaches

  • Akira Notsu
  • Hidetomo Ichihashi
  • Katsuhiro Honda
  • Osamu Katai
Open Forum
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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.

Keywords

Negative Relation Borderline Personality Disorder Dissimilarity Matrix Social Intelligence Signed Graph 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Copyright information

© Springer-Verlag London Limited 2007

Authors and Affiliations

  • Akira Notsu
    • 1
  • Hidetomo Ichihashi
    • 1
  • Katsuhiro Honda
    • 1
  • Osamu Katai
    • 2
  1. 1.Graduate School of Engineering, Electrical Engineering, and Information ScienceOsaka Prefecture UniversityOsakaJapan
  2. 2.Department of Systems Science, Graduate School of InformaticsKyoto UniversityKyotoJapan

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