| 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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| 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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