Japanese / English

Detail of Publication

Text Language English
Authors Charles Lima Sanches, Olivier Augereau, Koichi Kise
Title Eye gaze and text line matching for reading analysis
Journal 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
Series UbiComp/ISWC'15 Adjunct
Pages pp.1227-1234
Number of Pages 7 pages
Publisher ACM
Address New York, NY, USA
Location Osaka, Japan
Reviewed or not Reviewed
Presentation type Oral
Month & Year September 2015
Abstract 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
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