Abstract
We present initial work towards recognizing reading activities. This paper describes our efforts detect the English skill level of a user and infer which words are difficult for them to understand. We present an initial study of 5 students and show our findings regarding the skill level assessment. We explain a method to spot difficult words. Eye tracking is a promising technology to examine and assess a user’s skill level.
| Original language | English |
|---|---|
| Title of host publication | CHI EA 2013 - Extended Abstracts on Human Factors in Computing Systems |
| Subtitle of host publication | Changing Perspectives |
| Publisher | Association for Computing Machinery |
| Pages | 217-222 |
| Number of pages | 6 |
| Volume | 2013-April |
| ISBN (Electronic) | 9781450318990 |
| DOIs | |
| Publication status | Published - 2013 Apr 27 |
| Externally published | Yes |
| Event | 31st Annual CHI Conference on Human Factors in Computing Systems:, CHI EA 2013 - Paris, France Duration: 2013 Apr 27 → 2013 May 2 |
Other
| Other | 31st Annual CHI Conference on Human Factors in Computing Systems:, CHI EA 2013 |
|---|---|
| Country | France |
| City | Paris |
| Period | 13/4/27 → 13/5/2 |
Keywords
- Eye movements
- Language expertise
- Mobile eye tracker
ASJC Scopus subject areas
- Human-Computer Interaction
- Computer Graphics and Computer-Aided Design
- Software
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Cite this
Kunze, K. S., Yoshimura, K., Kawaichi, H., & Kise, K. (2013). Towards inferring language expertise using eye tracking. In CHI EA 2013 - Extended Abstracts on Human Factors in Computing Systems: Changing Perspectives (Vol. 2013-April, pp. 217-222). Association for Computing Machinery. https://doi.org/10.1145/2468356.2468396