Predictive Link Following for Accessible Web Browsing
Jiri Roznovjak and John Magee
The 17th International ACM SIGACCESS Conference on Computers and Accessibility - Posters and Demos (ASSETS 2015)
Lisbon, Portugal, October 26-28, 2015
Users of mouse-replacement interfaces can have difficulty navigating web pages. Small links may be difficult to click, and cluttered pages can result in following an incorrect link. We propose a predictive link-following approach for web browsing that intercepts mouse click signals and instead follows links based on analysis of the user's mouse movement behavior. Our system can be integrated into web page scripting to provide accessibility without needing to install separate software. In a preliminary experiment, users were able to click particularly small targets more accurately with our system compared to traditional mouse clicks.
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