Analytics of Reading Patterns Based on Eye Movements in an e-Learning System

Poster #52 ID: 54576 Type: Poster/Demo
  1. Tsubasa Minematsu, Kaori Tamura, Atsushi Shimada, Shin'ichi Konomi, and Rin-ichiro Taniguchi, Kyushu university, Japan

Wednesday, March 20 5:45 PM-7:00 PM Location: Celebrity Ballroom 1&2 View on map

Presider: Monique Woodard, Drexel University, United States

Abstract: We investigate relationships between a subject’s impression of difficulty and the reading behaviors of teaching materials based on eye movement data of students learning in an e-learning system. The analyses are important to help revising difficult contents in teaching materials. In this study, we use complex teaching materials containing text, pictures, mathematical expressions, while a previous study in the content difficulty focused on simple teaching materials. We define reading pattern codes to analyze temporal and spatial information of eye movement data using non-negative matrix factorization and compute a backward reading pattern score to compute correlations of the relationships. Our summarization could extract unique reading patterns to understand overall reading behaviors, and we observed correlations between a subject’s impression of difficulty and reading behaviors.


Conference attendees are able to comment on papers, view the full text and slides, and attend live presentations. If you are an attendee, please login to get full access.