Abstract
One way to optimize learning processes is to clearly inform the learner about problematic areas. Recent work on gaze-based CHI showed that a reader's language skill can be inferred by gaze analysis. However, only few approaches have been proposed to identify those document parts a reader finds problematic. Our goal is to develop a computational method for reading incomprehension extraction. As initial work, we analyze which eye gaze features are useful for such part-based reading incomprehension extraction at three levels of document structure: paragraphs, segments and words. Copyright is held by the author/owner(s).
| Original language | English |
|---|---|
| Title of host publication | CHI 2015 - Extended Abstracts Publication of the 33rd Annual CHI Conference on Human Factors in Computing Systems: Crossings |
| Publisher | Association for Computing Machinery |
| Pages | 1325-1330 |
| Number of pages | 6 |
| Volume | 18 |
| ISBN (Electronic) | 9781450331463 |
| DOIs | |
| Publication status | Published - 2015 Apr 18 |
| Event | 33rd Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2015 - Seoul, Korea, Republic of Duration: 2015 Apr 18 → 2015 Apr 23 |
Other
| Other | 33rd Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2015 |
|---|---|
| Country/Territory | Korea, Republic of |
| City | Seoul |
| Period | 15/4/18 → 15/4/23 |
Keywords
- Eye tracking
- Gaze features
- Reading analysis
- Subjective reading comprehension
ASJC Scopus subject areas
- Human-Computer Interaction
- Computer Graphics and Computer-Aided Design
- Software