Graduation Semester and Year

2013

Language

English

Document Type

Dissertation

Degree Name

Doctor of Philosophy in Computer Science

Department

Computer Science and Engineering

First Advisor

Fillia Makedon

Abstract

Adaptive Dialogue Systems (ADS) are intelligent systems, able to interact with users via multiple modalities, such as speech, gestures, facial expressions and others. Such systems are able to make conversation with their users, usually on a specific, narrow topic. Assistive Living Environments are environments where the users are by definition not competent with technology, due to various factors, such as mental or physical disabilities, age and others. While technology that helps improve these people's quality of life exists, many times they cannot access it due to inflexible interfaces. ADS, therefore, have the potential to bridge users and technology by acting as a mediator between them. There are several unique challenges posed by this problem, in addition to the challenges faced by a generic ADS. Our contributions to the state of the art focus on Online Dialogue Policy learning which, coupled with other methods we proposed, can lead to an ADS able to exhibit complex behaviour and appear more intelligent. As a consequence, users trust the system more and it becomes more functional as it is able to elicit behavioural information and use it, for example, to make basic diagnoses.

Disciplines

Computer Sciences | Physical Sciences and Mathematics

Comments

Degree granted by The University of Texas at Arlington

Download

Share

COinS