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Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Natural Human-System Interaction Using Intelligent Conversational Agents

Natural Human-System Interaction Using Intelligent Conversational Agents
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Author(s): Yacine Benahmed (Université de Moncton, Canada), Sid-Ahmed Selouani (Université de Moncton, Canada)and Habib Hamam (Université de Moncton, Canada)
Copyright: 2009
Pages: 17
Source title: Open Information Management: Applications of Interconnectivity and Collaboration
Source Author(s)/Editor(s): Samuli Niiranen (Tampere University of Technology, Finland), Jari Yli-Hietanen (Tampere University of Technology, Finland)and Artur Lugmayr (Tampere University of Technology, Finland)
DOI: 10.4018/978-1-60566-246-6.ch010

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Abstract

In the context of the prodigious growth of network-based information services, messaging and edutainment, we introduce new tools that enable information management through the use of efficient multimodal interaction using natural language and speech processing. These tools allow the system to respond to close-to natural language queries by means of pattern matching. A new approach which gives the system the ability to learn new utterances of natural language queries from the user is presented. This automatic learning process is initiated when the system encounters an unknown command. This alleviates the burden of users learning a fixed grammar. Furthermore, this enables the system to better respond to spontaneous queries. This work investigates how an information system can benefit from the use of conversational agents to drastically decrease the cognition load of the user. For this purpose, Automated Service Agents and Artificial Intelligence Markup Language (AIML) are used to provide naturalness to the dialogs between users and machines.

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