Type of Document Master's Thesis Author Agarwal, Abhishek URN etd-11102005-080034 Title User Modeling for Individuals with Disabilities Degree MSBeng Program Bioengineering School School of Engineering Advisory Committee
Advisor Name Title Dr. Richard C. Simpson Committee Chair Dr. Michael McCue Committee Member Dr. Rory A. Cooper Committee Member Keywords
- user modeling
- assistive technology
- word prediction
Date of Defense 2005-11-22 Availability unrestricted Abstract Clinicians have a limited amount of time for performing computer access and augmentative and alternative communication (AAC) assessments. In addition, they do not have access to all of the computer access devices that could potentially be useful for each client. An accurate modeling technique would help clinicians to identify the most appropriate kind of devices and device configurations for their clients. It would also be able to provide accurate prediction of performance, learning and fatigue.
Investigators are using word prediction (WP) as a test-bed for user modeling techniques. The goal is to develop accurate models that will form the basis for clinical assessment tools. The focus of this research was to observe users’ interaction with WP in great detail, in preparation for future studies and developing a model.
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