Eye gaze and text line matching for reading analysis

LanguageEnglish
TypeProceedings of International Conferences
AuthorsCharles Lima Sanches, Olivier Augereau, Koichi Kise
TitleEye gaze and text line matching for reading analysis
JournalProc. of WAHM: 2nd Workshop on Ubiquitous Technologies to Augment the Human Mind: Towards the Knowledge Log
Book titleAdjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers
SeriesUbiComp/ISWC'15 Adjunct
Pagespp.1227-1234
Number of pages7
PublisherACM
AddressNew York, NY, USA
LocationOsaka, Japan
ReviewedReviewed
Presentation typeOral
DateSeptember 2015
DOI10.1145/2800835.2807936
KeySanches2015 (id=1476)

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.

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