Embodied conversational agents for H5N1 pandemic crisis

Goh, Ong Sing and Fung, Chun Che and Wong, Kok Wai and Depickere, Arnold (2007) Embodied conversational agents for H5N1 pandemic crisis. Journal of Advanced Computational Intelligence and Intelligent Informatics, 11 (3). pp. 282-288. ISSN 1343-0130


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This paper presents a novel framework for modeling embodied conversational agent for crisis communication focusing on the H5N1 pandemic crisis. Our system aims to cope with the most challenging issue on the maintenance of an engaging while convincing conversation. What primarily distinguishes our system from other conversational agent systems is that the human-computer conversation takes place within the context of H5N1 pandemic crisis. A Crisis Communication Network, called CCNet, is established based on a novel algorithm incorporating natural language query and embodied conversation agent simultaneously. Another significant contribution of our work is the development of a Automated Knowledge Extraction Agent (AKEA) to capitalize on the tremendous amount of data that is now available online to support our experiments. What makes our system differs from typical conversational agents is the attempt to move away from strictly task-oriented dialogue.

Item Type: Article
Uncontrolled Keywords: Natural Language Processing Understanding and Reasoning (NLUR), Artificial Intelligence (AI), Embodied Conversational Agent (ECA), H5N1 bird flu
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Information and Communication Technology > Department of Industrial Computing
Depositing User: Assoc. Prof. Dr. Ong Sing Goh
Date Deposited: 05 Nov 2014 13:33
Last Modified: 08 Jun 2023 14:36
URI: http://eprints.utem.edu.my/id/eprint/12385
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