文献の詳細
| 論文の言語 | 英語 |
|---|---|
| 著者 | Manuel Landsmann,Olivier Augereau,Koichi Kise |
| 論文名 | Detecting reading based on eye movement analysis |
| ページ数 | 6 pages |
| 発表場所 | 多��孫息���ﾃ�遜続��族単 ��竪多����捉続��遜測族��続��造��孫息続��存側袖脱族単(ALST) |
| 査読の有無 | 無 |
| 年月 | 2019年7月 |
| 要約 | As, nowadays, eye trackers have become more accurate and affordable, their use also increased. One of their applied fields is the analysis of reading behavior. In laboratory settings, various traits of reading like engagement, or text difficulty could be shown. But, there is usually one unanswered question preventing their automatic application in daily life: when is somebody reading? We have developed a tool that uses eye gaze data to detect the period of reading. Our specific use case is the vocabulometer, a website for learning English by reading texts. We used supervised learning on data from nonnative English speakers to train decision trees on reading detection. With features based on vertical eye movement, an accuracy of 93.5% on detecting reading and 92.7% on detecting not reading could be achieved. |
- BibTeX用エントリー
@InCollection{Landsmann2019, author = {Manuel Landsmann and Olivier Augereau and Koichi Kise}, title = {Detecting reading based on eye movement analysis}, year = 2019, month = jul, numpages = {6}, location = {多��孫息���ﾃ�遜続��族単 ��竪多����捉続��遜測族��続��造��孫息続��存側袖脱族単(ALST)} }