Eye gaze and text line matching for reading analysis
| 言語 | 英語 |
|---|---|
| 種類 | 国際会議等の予稿 |
| 著者 | Charles Lima Sanches，Olivier Augereau，Koichi Kise |
| 論文名 | Eye gaze and text line matching for reading analysis |
| 論文誌名 | Proc. of WAHM: 2nd Workshop on Ubiquitous Technologies to Augment the Human Mind: Towards the Knowledge Log |
| 書名 | Adjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers |
| Series | UbiComp/ISWC'15 Adjunct |
| ページ | pp.1227-1234 |
| ページ数 | 7 |
| 出版社 | ACM |
| 出版社の住所 | New York, NY, USA |
| 発表場所 | Osaka, Japan |
| 査読の有無 | 有 |
| 発表の種類 | 口頭発表 |
| 年月 | 2015年9月 |
| DOI | 10.1145/2800835.2807936 |
| キー | Sanches2015 (id=1476) |
要約
Eye tracking data has been widely used to analyze our reading behavior. Usually, experiments are carried out with head fixations or by analyzing eye tracking data in large areas such as paragraphs. But if we want to analyze the eye gaze line by line or word by word with a non invasive apparatus, we have to face the mislocation of the recorded eye gaze. The lack of accuracy involves a difficult analysis of the small eyes movements during reading. This paper proposes a method to match lines of gazes with corresponding text lines, using three different methods. We will show that the Dynamic Time Warping is a promising way to measure similarity between a line of gaze and a text line.
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