Analyzing Event Co-occurrence Structures of Eye Movements and Visual Environment Dynamics to Extract Habits and Art of Gazing
| Project/Area Number |
26730119
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Intelligent informatics
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| Research Institution | Nagoya University |
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Principal Investigator |
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| Project Period (FY) |
2014-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2016: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2015: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2014: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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| Keywords | 注視行動 / 視覚的注意 / 認知状態 / 技能 / 熟達 / データマイニング |
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| Outline of Final Research Achievements |
If computers can recognize habits and art of gazing that expose high-level visual cognition, we will anticipate that they give the users awareness of latent high-level visual function and show people into a new visual world through Gaze Based Human Computer Interaction based on the findings. We first need to unravel the complicated relationships between human cognition and gaze behaviors. The key is to focus on visual environment dynamics. In this work, we proposed and evaluated a data mining method that extracts skilled gaze behaviors by a comprehensive comparison of experts and novices in terms of event co-occurrence structures of eye movements and visual environment dynamics. We also proposed a classification method of human internal state, which analyzes relationships between them and applied the proposed method to classify different skill level groups.
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Report
(4 results)
Research Products
(21 results)
