Touch Screens Now Offer Compelling Uses
IEEE Software
Eye movement study of reading text on a mobile phone using paging, scrolling, leading, and RSVP
Proceedings of the 6th international conference on Mobile and ubiquitous multimedia
Eye-gaze interaction for mobile phones
Mobility '07 Proceedings of the 4th international conference on mobile technology, applications, and systems and the 1st international symposium on Computer human interaction in mobile technology
Eye tracking analysis of preferred reading regions on the screen
CHI '10 Extended Abstracts on Human Factors in Computing Systems
CHI '10 Extended Abstracts on Human Factors in Computing Systems
Towards robust gaze-based objective quality measures for text
Proceedings of the Symposium on Eye Tracking Research and Applications
Comparing scanning behaviour in web search on small and large screens
Proceedings of the Seventeenth Australasian Document Computing Symposium
Towards estimating web search result relevance from touch interactions on mobile devices
CHI '13 Extended Abstracts on Human Factors in Computing Systems
Mining touch interaction data on mobile devices to predict web search result relevance
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
How screen size influences Chinese readability
Proceedings of the 25th Australian Computer-Human Interaction Conference: Augmentation, Application, Innovation, Collaboration
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While lots of reading happens on mobile devices, little research has been performed on how the reading-interaction actually takes place. Therefore we describe our findings on a study conducted with 18 users which were asked to read a number of texts while their touch and gaze data was being recorded. We found three reader types and identified their preferred alignment of text on the screen. Based on our findings we are able to computationally estimate the reading area with an approximate .81 precision and .89 recall. Our computed reading speed estimate has an average 10.9% wpm error in contrast to the measured speed, and combining both techniques we can pinpoint the reading location at a given time with an overall word error of 9.26 words, or about three lines of text on our device.