Paper Info
Title
Predictive Link Following for Accessible Web Browsing
Abstract
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.
Year
DOI
Venue
2015
10.1145/2700648.2811391
ACM Conference on Supporting Group Work
Keywords
Field
DocType
Accessibility,Web Browsing,Mouse Replacement Interfaces,Camera Mouse,Target-Aware Pointing
Static web page,World Wide Web,Web page,Computer science,Software,Human–computer interaction,Web navigation,Multimedia,Scripting language
Conference
Citations 
PageRank 
References 
2
0.59
5
Authors
2
Name
Order
Citations
PageRank
Jiri Roznovjak120.59
John J. Magee29712.08