Non-linear dynamic models of search behavior: Eye movement and haptic search
| Project/Area Number |
26540065
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
Cognitive science
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| Research Institution | Kyoto University |
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Principal Investigator |
Saiki Jun 京都大学, 人間・環境学研究科(研究院), 教授 (60283470)
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| Co-Investigator(Kenkyū-buntansha) |
UEDA Yoshiyuki 京都大学, こころの未来研究センター, 特定助教 (80582494)
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| Co-Investigator(Renkei-kenkyūsha) |
SAKAGAMI Masaaki 京都大学, 大学院人間・環境学研究科, 教授 (70202083)
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| Project Period (FY) |
2014-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2015: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2014: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Keywords | 視覚探索 / 眼球運動 / 非線形力学 / 顕著性マップ / アンサンブル情報 / 自然画像 / 触覚探索 / 非線形動力学 / 探索行動 / 乗算的相互作用 |
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| Outline of Final Research Achievements |
Using eye movement data in visual search, we investigated non-linear dynamics in search behavior and examined the limitation of saliency map models. Eye movement analysis in visual search tasks revealed no significant differences in non-linearity of eye movement dynamics between natural scenes with structural properties and noise images without them. However, in addition to saliency, a vanishing point of the scene attracts eye movement, indicating a limitation of saliency map models. To examine the role of global statistical information of an image (ensemble information) in visual search, we devised a task judging the number of targets, which manipulates both targets’ saliency and their numbers. The results showed that ensemble information as well as saliency contributes to eye movements.
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Report
(3 results)
Research Products
(20 results)
