Work

Dynamically adapting GUIs to diverse input devices

Year: 2006

Type: conference-paper

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.

Source: International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS)

DOI: 10.1145/1168987.1169000

Authors: Scott Carter, Amy Hurst, Jennifer Mankoff, Jack Li

Institutions: University of California, Berkeley, Carnegie Mellon University

Language: English

Topic: Digital Accessibility for Disabilities

Subfield: Human Factors and Ergonomics

Field: Social Sciences

Domain: Social Sciences

SDG: Reduced inequalities

Open Access status: green

Funder: National Science Foundation