Computer Science

Predictive link following for accessible web browsing

Document Type

Conference Paper

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.

Publication Title

ASSETS 2015 - Proceedings of the 17th International ACM SIGACCESS Conference on Computers and Accessibility

Publication Date

2015

First Page

403

Last Page

404

ISBN

9781450334006

DOI

10.1145/2700648.2811391

Keywords

accessibility, camera mouse, mouse replacement interfaces, target-aware pointing, web browsing

APA Citation

Roznovjak, J., & Magee, J. J. (2015, October). Predictive Link Following for Accessible Web Browsing. In Proceedings of the 17th International ACM SIGACCESS Conference on Computers & Accessibility (pp. 403-404).

Link to Full Text

Share

COinS