Computer Science

Predictive link following plug-in for web browsers

Document Type

Conference Paper

Abstract

We demonstrate a target-aware pointing assistance software plug-in for web browsers. Web browsing can be difficult for people with motor impairments because of small links and cluttered web pages. The lack of high-precision movements presents a challenge for such interfaces because clicks may miss a link, or links may be followed unintentionally. Our approach is based on Predictive Link Following which alleviates the difficulties with link selection when using mouse replacement interfaces by predicting which link should be clicked based on the proximity of the cursor to the link. We previously presented and evaluated this method as lab-based experiments that were restricted to our custom web pages. We here demonstrate a plug-in for web browsers that allows our method to work on any web page. This publication accompanies the public release of the software as a freely-available download.

Publication Title

ASSETS 2017 - Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility

Publication Date

2017

First Page

333

Last Page

334

ISBN

9781450349260

DOI

10.1145/3132525.3134776

Keywords

accessibilty, mouse replacement interfaces, target-aware pointing, web browsing

APA Citation

Pierson Stachecki, L., & Magee, J. (2017, October). Predictive link following plug-in for web browsers. In Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility (pp. 333-334).

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