文献の詳細

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
査読の有無	有
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

• BibTeX用エントリー

  @InProceedings{Sanches2015,
    author =	{Charles Lima Sanches and Olivier Augereau and Koichi Kise},
    title =	{Eye gaze and text line matching for reading analysis},
    booktitle =	{Proc. of WAHM: 2nd Workshop on Ubiquitous Technologies to Augment the Human Mind: Towards the Knowledge Log},
    book_title =	{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},
    year =	2015,
    month =	sep,
    pages =	{1227--1234},
    numpages =	{7},
    DOI =		{10.1145/2800835.2807936},
    publisher =	{ACM},
    address =	{New York, NY, USA},
    location =	{Osaka, Japan}
  }
  
  
  

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