The adjustable grid: a grid-based cursor control solution using speech recognition

Authors:
Tarif Haque;Emily Liang;Jeff Gray
Affiliations:
The University of Alabama;The University of Alabama;The University of Alabama
Venue:
Proceedings of the 51st ACM Southeast Conference
Year:
2013

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Abstract

Individuals with motor disabilities often find hands-free, speech-based systems useful because they provide an alternative to traditional mouse-centered navigation. A small number of grid-based cursor control systems using speech recognition have been developed. These systems typically overlay a numbered 3x3 grid on the screen and allow the user to recursively drill the cursor down to a target location by speaking a grid number. Though a 3x3 grid remains the standard, it still remains elusive as to which granularity maximizes performance in specific desktop environments, particularly in regard to time delays and error rates of click tasks. The objective of this research is to develop a grid of adjustable granularity both to compare the efficacy of a variety of grid sizes and to provide users with an alternative to current systems which only offer a single default grid.