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User Modeling for Individuals with Disabilities

Agarwal, Abhishek (2006) User Modeling for Individuals with Disabilities. Master's Thesis, University of Pittsburgh. (Unpublished)

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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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Details

Item Type: University of Pittsburgh ETD
Status: Unpublished
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Agarwal, Abhishekabhiagar@gmail.com
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairSimpson, Richard Cris20@pitt.eduRIS20
Committee MemberMcCue, Michaelmmccue@pitt.eduMMCCUE
Committee MemberCooper, Rory Arcooper@pitt.eduRCOOPER
Date: 31 January 2006
Date Type: Completion
Defense Date: 22 November 2005
Approval Date: 31 January 2006
Submission Date: 10 November 2005
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Institution: University of Pittsburgh
Schools and Programs: Swanson School of Engineering > Bioengineering
Degree: MSBeng - Master of Science in Bioengineering
Thesis Type: Master's Thesis
Refereed: Yes
Uncontrolled Keywords: assistive technology; user modeling; word prediction
Other ID: http://etd.library.pitt.edu/ETD/available/etd-11102005-080034/, etd-11102005-080034
Date Deposited: 10 Nov 2011 20:04
Last Modified: 15 Nov 2016 13:51
URI: http://d-scholarship.pitt.edu/id/eprint/9617

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