Date of Award

Fall 2014

Degree Type

Thesis

Degree Name

Master of Science (MS)

Department

Hospitality and Tourism Management

First Advisor

Gregory Francis

Committee Member 1

Sebastien Helie

Committee Member 2

Richard Schweickert

Abstract

In this thesis, I first reviewed some keyboard technologies used by people with motor difficulties, and described design elements that influence efficiency. I cast the design of a switch keyboard as an optimization problem, and arrangement of keys on such a keyboard as a Mixed Integer Programming problem. One significant variable in the MIP problem, the error rate, is related to several other variables. I treated modeling of the error rate as a parameter estimation problem, and used a data mining method. I designed HCI experiments to gather data for parameter estimation, using Bayesian logistic regression model. The empirical data and error rate modeling allowed for construction of several different types of keyboards. These different keyboards were compared and evaluated with regard to their use by people with motor difficulties.

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