Graduation Semester and Year
2007
Language
English
Document Type
Thesis
Degree Name
Master of Science in Computer Science
Department
Computer Science and Engineering
First Advisor
David Levine
Abstract
The enormous amount of electronic data present today can be a daunting task to access and process for a regular person, let alone someone with a disability. The World Wide Web and Electronic Mail have transformed the way we live. We are constantly become more dependent on this information, communication and commerce medium. The Speech Enabled Email System (SEES) is an alternate user interface that allows for the retrieval of emails and RSS feeds using speech. SEES can be accessed via a desktop application or through a telephony interface such as a regular phone-line or Voice over IP. This thesis explores the different types of interfaces, describes SEES in length and compares SEES with interfaces that attempt similar functionality
Disciplines
Computer Sciences | Physical Sciences and Mathematics
License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Recommended Citation
Saigal, Aparajit, "SEES - An Adaptive Multimodal User Interface For The Visually Impaired" (2007). Computer Science and Engineering Theses. 331.
https://mavmatrix.uta.edu/cse_theses/331
Comments
Degree granted by The University of Texas at Arlington