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Predictive, accessible web automation: A longitudinal study

  • Charmtech Labs LLC

Research output: Contribution to conferencePaperpeer-review

Abstract

The problem of efficient, usable non-visual web access remains inadequately solved, despite its critical importance to a significant number of visually-impaired existing and potential Web users. Web automation, a process of automating browsing actions on behalf of the user, has the potential to significantly improve the usability and accessibility of non-visual web browsing. Automation Assistant is an accessible web automation system designed specifically for this purpose. Until now, however, Automation Assistant was only evaluated in a short-term, controlled experiment. In this paper we report preliminary results on a longitudinal study designed to explore the long term practicality of the approach to accessible web automation taken by Automation Assistant. The study involves a single participant and can be considered a pilot of a future experiment involving a large number of participants and benefiting from the lessons learned during the pilot.

Original languageEnglish
DOIs
StatePublished - 2014
Event11th International Web for All Conference, W4A 2014 - Seoul, Korea, Republic of
Duration: Apr 7 2014Apr 9 2014

Conference

Conference11th International Web for All Conference, W4A 2014
Country/TerritoryKorea, Republic of
CitySeoul
Period04/7/1404/9/14

Keywords

  • Accessibility
  • Adaptive interface
  • Automation
  • Blind
  • Browser
  • Interface agent
  • Low vision
  • Macro
  • Model
  • Non-visual
  • Prediction
  • Screen-reader
  • Sequence alignment
  • Web

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