2016 Fiscal Year Research-status Report
Document reading analysis - towards smart documents.
| Project/Area Number |
16K16089
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| Research Institution | Osaka Prefecture University |
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Principal Investigator |
オジュロ オリビエ 大阪府立大学, 工学(系)研究科(研究院), 特認助教 (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 / adaptive document |
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| Outline of Annual Research Achievements |
I extended the research about the reading life-log, which consists in recording the reading behavior by using an eye tracker. I worked in some solutions to improve the accuracy of the eye tracker with a post-processing algorithm.
Then I developed a new algorithm for analyzing the English skill of non-native speaker. Our system is able to predict the TOEIC score quite accurately. We also developed a method to predict the which words the reader feel difficult. Then I started new experiments to analyze the reading comprehension and text difficulty of Japanese texts.
With a researcher from Bordeaux University we are building a software to estimate the vocabulary of a reader and then to recommend reading a new text by comparing the reader's vocabulary and the document words.
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| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
Some parts of the analysis such as predicting the English or Japanese understanding worked quite well. The prediction of the TOEIC is very accurate, we are even able to predict which specific words the reader feel difficult.
However the analysis of the emotions of the reader seems harder than I expected even if some state of the art methods looks encouraging.
I am also thinking about the different way to make a smart and adaptive document. The first idea was to change the content but another idea could be to change the order of the lesson chapters depending on the reader, in order to help him to understand in a better way.
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| Strategy for Future Research Activity |
The analysis of the reader understanding and language skill is working quite well with a stationary eye tracker. We plan to make some experiments by using JINS MEME Electro-oculography glasses to see to which extent, a simpler device could be use for the same analysis. We know that we can predict in the same way the number of read words but no research have been to to use it for analyzing the reader understanding.
The second part of the future work is to develop the actuation part of the smart documents. We successfully developed algorithm to analyze the reader behavior, now we need to see how this information can be used to change the document and make them fit the reader.
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