An embodied conversational agent for intelligent web interaction on pandemic crisis communication

Goh, Ong Sing and Fung, Chun Che and Wong, Kok Wai and Depickere, Arnold (2006) An embodied conversational agent for intelligent web interaction on pandemic crisis communication. In: 2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2006 Workshops Proceedings), December 2006, Hong Kong.

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Abstract

In times of crisis, an effective communication mechanism is paramount in providing accurate and timely information to the community. In this paper we study the use of an intelligent embodied conversational agent (EGA) as the front end interface with the public for a Crisis Communication Network Portal (CCNet). The proposed system, CCNet, is an integration of the intelligent conversation agent, AINI, and an Automated Knowledge Extraction Agent (AKEA). AKEA retrieves first hand information from relevant sources such as government departments and news channels. In this paper, we compare the interaction of AINI against two popular search engines, two question answering systems and two conversational systems.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Uncontrolled Keywords:	Embodied Conversational Agent (ECA), Crisis Communication Network Portal (CCNet), Automated Knowledge Extraction Agent (AKEA)
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 13:32
Last Modified:	08 Jun 2023 15:20
URI:	http://eprints.utem.edu.my/id/eprint/12395
Statistic Details:	View Download Statistic

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