Name
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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/s00146-007-0142-1 | AI Soc. |
Keywords | Field | DocType |
imbalance situation,visual image,vat algorithm,imbalanced situation,human understanding,visual understanding,visual display,clustering tendency,visual assessment,digital image representation,psychological approach,digital image | Signed graph,Interpersonal communication,Visualization,Computer science,Fuzzy logic,Visual assessment,Digital image,Social intelligence,Artificial intelligence,Cluster analysis,Machine learning | Journal |
Volume | Issue | ISSN |
23 | 2 | 1435-5655 |
Citations | PageRank | References |
2 | 0.41 | 2 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Akira Notsu | 1 | 146 | 42.93 |
| Hidetomo Ichihashi | 2 | 370 | 72.85 |
| Katsuhiro Honda | 3 | 289 | 63.11 |
| Osamu Katai | 4 | 137 | 28.35 |