1996 Fiscal Year Final Research Report Summary
Decay and recovery processes in pattern recognition produced by prolonge
| Project/Area Number |
07610082
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
実験系心理学
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| Research Institution | Kyushu University |
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Principal Investigator |
GYOBA Jiro Faculty of Letters, Kyushu University Associate Prof., 文学部, 助教授 (50142899)
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| Project Period (FY) |
1995 – 1996
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| Keywords | prolonged viewing / adaptation / pattern recognition / texture perception / Kanji recognition / face recognition |
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| Research Abstract |
The present study investigated decay and recovery processes in pattern recognition produced by prolonged viewing of various patterns.
1.Disappearance of texture pattern was analyzed with varing eccentricity of stimulus presentation. The time for disappearance became shorter with the increase of eccentricity. It was found that a region which disappears in prolonged viewing is filled with the same texture elements as its outer area. This phenomenon can be explained by the Grossberg's theory which postulates the boudary contour system and the feature contour system.
2.From analyzes of Kanji recognition times after prolonged viewing, significant delays were found not only when adaptation and test Kanjis were of the same pattern, but also when they had the same structure. The delay effect continued more than 15 sec after the prolonged viewing. The results also suggest that internal representations of Kanjis are partly independent from their size and orientation. These findings were published on an article in Japanese Psychological Research.
3.The effects of prolonged viewing on recognition of facial expressions were also investigated. Siginificant recognition delays occurred only when the subjects viewed the faces which had higher values on the pleasantness dimension. In contrast, the prolonged viewing of faces which had high values on the arousal dimension produced no effect. It was suggested that there are at least two subsystems involved in the recognition of facial expressions and that each system has different temporal characteristics.
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