User-oriented document summarization through vision-based eye-tracking
Proceedings of the 14th international conference on Intelligent user interfaces
Robust Recognition of Reading Activity in Transit Using Wearable Electrooculography
Pervasive '08 Proceedings of the 6th International Conference on Pervasive Computing
CHI '10 Extended Abstracts on Human Factors in Computing Systems
Inferring word relevance from eye-movements of readers
Proceedings of the 16th international conference on Intelligent user interfaces
Skim reading by satisficing: evidence from eye tracking
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A robust realtime reading-skimming classifier
Proceedings of the Symposium on Eye Tracking Research and Applications
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
My reading life: towards utilizing eyetracking on unmodified tablets and phones
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
I know what you are reading: recognition of document types using mobile eye tracking
Proceedings of the 2013 International Symposium on Wearable Computers
Real-life activity recognition: recognizing reading activities
Joint Proceedings of the Workshop on AI Problems and Approaches for Intelligent Environments and Workshop on Semantic Cities
Tracking how we read: activity recognition for cognitive tasks
XRDS: Crossroads, The ACM Magazine for Students - Wearable Computing: Getting Dressed in Tech
Recognition of understanding level and language skill using measurements of reading behavior
Proceedings of the 19th international conference on Intelligent User Interfaces
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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.