Ｎｕｍｅｒｉｃａｌ Ｍａｇｎｉｔｕｄｅ ａｎｄ Ｉｔｓ Ｄｙｎａｍｉｃｓ
| Project/Area Number |
13J04112
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| Research Category |
Grant-in-Aid for JSPS Fellows
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| Allocation Type | Single-year Grants |
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| Section | 国内 |
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| Research Field |
Experimental psychology
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| Research Institution | Kobe University |
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Principal Investigator |
KIRJAKOVSKI ATANAS (2014) 神戸大学, 国際文化学研究科, 特別研究員(PD)
KIRJAKOVSKI ATANAS (2013) 神戸大学, 国際文化学研究科, 特別研究員(DC2)
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| Project Period (FY) |
2013-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥1,000,000 (Direct Cost: ¥1,000,000)
Fiscal Year 2014: ¥500,000 (Direct Cost: ¥500,000)
Fiscal Year 2013: ¥500,000 (Direct Cost: ¥500,000)
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| Keywords | numerosity estimation / connectedness / segmentation / illusory contours / configural processing / object recognition / cardinal numerals / nominal numerals / context / priming / numerical distance effect / number comparison / semantic blocking / quantity |
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| Outline of Annual Research Achievements |
Previous research has shown that when several dots in collection are connected with a thin line, people tend to underestimate the numerosity of the total collection. In other words, with the increasing connectedness, displays tend to be perceived as less numerous. However, connecting dots with lines that are actually irrelevant to the task may be a nuisance variable because lines could act as distractors in the set and therefore, bias the numerical estimations. Current research tested whether Kanitsza-type illusory contours that posses powerful connecting properties in absence of actual luminance changes (apparent lines), affect the perception of numerosity. In three experiments, participants were asked to choose the larger collection out of two displays made of inducers. It was found that when some of the inducers in one of the collections formed illusory contours, the total numerosity of that collection was underestimated. These findings are important and contribute to the understanding of how our visual systems estimate the numerously of collections, which most likely are based on discrete visual inputs, rather than properties like total area of the collection. In other words, scene segmentation is important for recognizing objects and spatial positions, but most of all, segmentation seems to be a fundamental principle behind the extraction of visual non-symbolic numerosities.
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| Research Progress Status |
26年度が最終年度であるため、記入しない。
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| Strategy for Future Research Activity |
26年度が最終年度であるため、記入しない。
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Report
(2 results)
Research Products
(6 results)
