Architectural design and implementation of intelligent embodied conversational agents using fuzzy knowledge base

  • Authors:
  • Kaveh Hassani;Ali Nahvi;Ali Ahmadi

  • Affiliations:
  • Mechatronics Engineering Group, Faculty of Mechanical Engineering, K.N. Toosi University of Technology, Tehran, Iran;Mechatronics Engineering Group, Faculty of Mechanical Engineering, K.N. Toosi University of Technology, Tehran, Iran;Department of Electrical and Computer Engineering, K.N. Toosi University of Technology, Tehran, Iran

  • Venue:
  • Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
  • Year:
  • 2013

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Abstract

In this paper, a general architecture is proposed for developing embodied conversational agents with fuzzy ontology knowledge base. The proposed architecture enables agents to interact with the user via multimodal channels in a virtual reality environment for the purpose of language learning. The agents play the role of emotional, rational, and friendly partners who provide a specific domain of knowledge based on user's queries in natural language. These queries are performed by an optimized fuzzy search engine. Two scenarios including two virtual airports and a virtual electronic gadget shop are implemented in this architecture to improve users' oral skills. The results show the users' average oral skills improved 11%. Moreover, 80% of the users ranked agents' logical sequence of actions and the total speed of responses as very good, and 90% of them evaluated agents' appropriateness of responses as very good based on Likert scale.