2017 Fiscal Year Final Research Report
Document reading analysis - towards smart documents
| Project/Area Number |
16K16089
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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 |
Perceptual information processing
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| Research Institution | Osaka Prefecture University |
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Principal Investigator |
Augereau Olivier 大阪府立大学, 工学(系)研究科(研究院), 研究員 (10772436)
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| Project Period (FY) |
2016-04-01 – 2018-03-31
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| Keywords | eye tracking / reading analysis / reading understanding / smart documents |
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| Outline of Final Research Achievements |
The aim of this research project is to create smart documents that can adapt themselves to the readers. Some sensors such as eye trackers (Tobii, SMI, pupil, JINS MEME) and physiological sensors (E4 wristband) are used to analyze information about the user while reading a document. For example we estimate the reader comprehension, confusion, concentration and emotion. At the same time, the document that the reader is interacting with is analyzed. The information about the document and the user behavior are combined to proceed a "mutual analysis". By knowing the difficulty of a document and the skill of the reader, the system can select an easier version of the document. Another application is to recommend a user to review specific parts of a lesson based on the confidence and correctness of his answers.
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| Free Research Field |
Computer science
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