Goal orientated conversational agents: applications to benefit society

Authors:
Keeley Crockett;James O'Shea;Zuhair Bandar
Affiliations:
The Intelligent Systems Group, School of Computing, Mathematics & Digital Technology, Manchester Metropolitan University, Manchester, UK;The Intelligent Systems Group, School of Computing, Mathematics & Digital Technology, Manchester Metropolitan University, Manchester, UK;The Intelligent Systems Group, School of Computing, Mathematics & Digital Technology, Manchester Metropolitan University, Manchester, UK
Venue:
KES-AMSTA'11 Proceedings of the 5th KES international conference on Agent and multi-agent systems: technologies and applications
Year:
2011

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Abstract

Goal-orientated Conversational Agents are a specific family of conversational agents that are designed to converse with humans through the use of natural language dialogue to achieve a specific task. Traditionally, they utilise pattern matching algorithms to capture the values of specific attributes through their values through dialogue interaction with a user. This is achieved through the use of scripts which contain sets of rules about the domain and a knowledge base to guide the conversation towards achieving a specific goal. Such systems are ideal for providing clear and consistent advice 24 hours a day in many different scenarios, including advising employees about their organisations policies and procedures, guiding a user through buying a suitable product, and tutoring a student to understand a learning objective. This paper presents an overview of a methodology for constructing goal orientated conversational agents. Three case studies which employ this methodology are introduced and evaluated.