Date of Award
Spring 2008
Document Type
Thesis - Restricted
Degree Name
Master of Science (MS)
Department
Biomedical Engineering
First Advisor
Winters, Jack
Second Advisor
Audi, Said
Third Advisor
Gilman, Alfred S.
Abstract
The motivation for the study is the continuation of work on the ANSI/INCITS 389- 393:2005 suite of standards that provide protocols for describing a user interface socket. The specifications within this standard provide the opportunity for any electronic equipment such as TVs, medical equipment, and exercise equipment to be controlled using a single programmable remote control known as a Universal Remote Console (URC). These URCs will detect compliant devices and construct a user interface based on certain information provided by the target device in the form of certain standards-compliant structured files; written in extensible Markup Language (.xml) and Resource Description Framework (RIDF) formats. The URC need not have any prior knowledge about any target device, and does not require any new programming to detect any new complaint target device. The URC can then customize the interface for the device based on any knowledge it has of the user's capabilities and preferences. The information it has on the user can enable the URC to design an interface that is more accessible to that user. The aim of this study is to create a URC capable of on-the-fly generation of interfaces for exercise equipment. Users of these devices may have diverse abilities and preferences. Each user may prefer drastically different control or display features, as well as have diverse abilities that influence their ability to interact with a device. The application developed and evaluated! in this thesis addresses generation of individualized interfaces, for diverse users, based on the abilities and preferences.
Recommended Citation
Haines, Jason, "Evaluating Automatically Generated Personalized Interfaces on An Ergometer, for People with Disabilities" (2008). Master's Theses (1922-2009) Access restricted to Marquette Campus. 4817.
https://epublications.marquette.edu/theses/4817