Japanese / English


論文の言語 英語
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 pages
出版社 ACM
出版社の住所 New York, NY, USA
発表場所 Osaka, Japan
発表の種類 口頭発表
年月 2015年9月
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.
DOI 10.1145/2800835.2807936