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Li, Ming – ProQuest LLC, 2013
The goal of this work is to enhance the robustness and efficiency of the multimodal human states recognition task. Human states recognition can be considered as a joint term for identifying/verifing various kinds of human related states, such as biometric identity, language spoken, age, gender, emotion, intoxication level, physical activity, vocal…
Descriptors: Recognition (Psychology), Efficiency, Factor Analysis, Classification
Banks, Jaime – ProQuest LLC, 2013
Massively multiplayer online roleplaying games, or MMOs, present an increasingly popular digital media experience whereby identity emerges as players contribute materially to play but contributions are governed by affordances and constraints of the game. Unique to this medium is the player's ability to create and control a digital body--an…
Descriptors: Computer Games, Self Concept, Postmodernism, Identification (Psychology)
Lin, Yi-Ling – ProQuest LLC, 2013
This dissertation focuses on investigating whether users will locate desired images more efficiently and effectively when they are provided with information descriptors from both experts and the general public. This study develops a way to support image finding through a human-computer interface by providing subject headings and social tags about…
Descriptors: Information Science, Users (Information), Information Retrieval, Access to Information
Brennan, Michael – ProQuest LLC, 2012
Automation can mitigate issues when scaling and managing quality and identity in public discourse on the web. Discourse needs to be curated and filtered. Anonymous speech has to be supported while handling adversaries. Reliance on human curators or analysts does not scale and content can be missed. These scaling and management issues include the…
Descriptors: Discourse Analysis, Electronic Learning, Social Networks, Authors
Becker, Lee – ProQuest LLC, 2012
While many studies have demonstrated that conversational tutoring systems have a positive effect on learning, the amount of manual effort required to author, design, and tune dialogue behaviors remains a major barrier to widespread deployment and adoption of these systems. Such dialogue systems must not only understand student speech, but must…
Descriptors: Intelligent Tutoring Systems, Speech, Computer Mediated Communication, Natural Language Processing
Guo, Zhen – ProQuest LLC, 2010
A basic and classical assumption in the machine learning research area is "randomness assumption" (also known as i.i.d assumption), which states that data are assumed to be independent and identically generated by some known or unknown distribution. This assumption, which is the foundation of most existing approaches in the literature, simplifies…
Descriptors: Artificial Intelligence, Man Machine Systems, Probability, Data