How much do we understand when skim reading?
CHI '06 Extended Abstracts on Human Factors in Computing Systems
Enhancing web page readability for non-native readers
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Skim reading by satisficing: evidence from eye tracking
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
| Hi-index | 0.00 |
Information overload on the Web and limited reading time force users to skim read web pages. For non-native English readers, it is challenging to understand first-hand information written in English under time constraints. Traditional readability enhancement research has focused on enhancing reading comprehension and user satisfaction, but average reading times for non-native readers have remained the same or even worse. In this paper, we investigate useful techniques for readers when reading web pages under time constraints, i.e., having skim reading capability. We propose two techniques to help non-native readers to skim read web pages: (1) content spotlight, masking and filtering; and (2) semantic data extraction and in-place translation. Froggy GX is a prototype system that implements proposed techniques to provide skim-reading support for non-native readers.