Dynamically adapting GUIs to diverse input devices

  • Authors:
  • Scott Carter;Amy Hurst;Jennifer Mankoff;Jack Li

  • Affiliations:
  • UC Berkeley;Carnegie Mellon University;Carnegie Mellon University;Carnegie Mellon University

  • Venue:
  • Proceedings of the 8th international ACM SIGACCESS conference on Computers and accessibility
  • Year:
  • 2006

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Abstract

Many of today's desktop applications are designed for use with a pointing device and keyboard. Someone with a disability, or in a unique environment, may not be able to use one or both of these devices. We have developed an approach for automatically modifying desktop applications to accommodate a variety of input alternatives as well as a demonstration implementation, the Input Adapter Tool (IAT). Our work is differentiated from past work by our focus on input adaptation (such as adapting a paint program to work without a pointing device) rather than output adaptation (such as adapting web pages to work on a cellphone). We present an analysis showing how different common interactive elements and navigation techniques can be adapted to specific input modalities. We also describe IAT, which supports a subset of these adaptations, and illustrate how it adapts different inputs to two applications, a paint program and a form entry program.