A study of fonts designed for screen display
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
WebGazeAnalyzer: a system for capturing and analyzing web reading behavior using eye gaze
CHI '05 Extended Abstracts on Human Factors in Computing Systems
The effect of age and font size on reading text on handheld computers
INTERACT'05 Proceedings of the 2005 IFIP TC13 international conference on Human-Computer Interaction
Wide vs. narrow paragraphs: an eye tracking analysis
INTERACT'05 Proceedings of the 2005 IFIP TC13 international conference on Human-Computer Interaction
Investigating the accessibility of program selection menus of a digital TV interface
HCII'11 Proceedings of the 14th international conference on Human-computer interaction: users and applications - Volume Part IV
I know what you are reading: recognition of document types using mobile eye tracking
Proceedings of the 2013 International Symposium on Wearable Computers
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In order to maximize online reading performance and comprehension, how should a designer choose typographical variables such as font size and font type? This paper presents an eye tracking study of how font size and font type affect online reading. In a between-subjects design, we collected data from 82 subjects reading stories formatted in a variety of point sizes, san serif, and serif fonts. Reading statistics such as reading speed were computed, and post-tests of comprehension were recorded. For smaller font sizes, fixation durations are significantly longer, resulting in slower reading -- but not significantly slower. While there were no significant differences in serif vs. san serif fonts, serif reading was slightly faster. Significant eye tracking differences were found for demographic variables such as age group and whether English is the subject's first language.