Date of Award

Spring 5-18-2012

Degree Type

Thesis

Degree Name

M.S.

Degree Program

Computer Science

Department

Computer Science

Major Professor

Dr. Shengru Tu

Second Advisor

Dr. Jaime Nino

Third Advisor

Dr. Christopher Summa

Abstract

By combining context awareness and analytical based relevance computing software, the proposed Augmentative and Alternative Communication (AAC) framework aims provide a foundation to create communication systems to dramatically increase the words available to AAC users. The framework will allow the lexicon available to the user to be dynamically updated by varying sources and to promote words based on contextual relevance. This level of customization enables the development of highly customizable AAC devices that evolve with use to become more personal while also broadening the expressiveness of the user. In order to maximize the efficient creation of conversation for AAC users, the framework provides a lexicon with the ability to obtain words from multiple sources which are then organized according to relevance in a situational context.

Rights

The University of New Orleans and its agents retain the non-exclusive license to archive and make accessible this dissertation or thesis in whole or in part in all forms of media, now or hereafter known. The author retains all other ownership rights to the copyright of the thesis or dissertation.

Creative Commons License

Creative Commons Attribution 3.0 License
This work is licensed under a Creative Commons Attribution 3.0 License.

Share

COinS