On-screen Keyboard Access Method to Reduce Workload

Award Information
Agency: Department of Health and Human Services
Branch: N/A
Contract: 1R43HD072649-01
Agency Tracking Number: R43HD072649
Amount: $155,443.00
Phase: Phase I
Program: SBIR
Awards Year: 2012
Solicitation Year: 2012
Solicitation Topic Code: NICHD
Solicitation Number: PA11-096
Small Business Information
INVOTEK, INC.
1026 RIVERVIEW DR, ALMA, AR, -
DUNS: 956866784
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 THOMAS JAKOBS
 (479) 632-4166
 tjakobs@invotek.org
Business Contact
 THOMAS JAKOBS
Phone: (479) 632-4166
Email: tjakobs@invotek.org
Research Institution
 Stub
Abstract
DESCRIPTION (provided by applicant): We develop an integrated writing method named GWP that seamlessly switches between typing, word prediction, and predictive gesturing. Predictive gesturing enables a person to enter text by moving the mouse cursor toward a few letters in a word without requiring precise targeting of the letters or gestures towards all the letters in the desired word. Our preliminary work on predictive gesturing demonstrated that people with disabilities created text using 47% fewer precise letter selections than when using word prediction. We propose to improve our predictive gesture analysis algorithm so that it is more error tolerant. We incorporate our integrated writing method into an on-screen keyboard that operates within web-browsers and accesses cloud-based word processors. Developing a browser- based, on-screen keyboard provides access to a wide variety of devices, including smartphones, tablets, and computers. We will evaluate this writing method during real- life use by people with disabilities over a three month period. It is our hypothesis that assistive technology experts will rate GWP as the overall better method for entering text compared to word prediction for most people with disabilities. Experts will base their judgmenton user data collected during the three month evaluation period. PUBLIC HEALTH RELEVANCE: The proposed research offers people with severe disability an efficient method for entering text into a broad range of computing devices that alleviates theneed for repetitive, precise letter selections.

* information listed above is at the time of submission.

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