Developing multimodal conversational agents for an enhanced e-learning experience Articles uri icon

publication date

  • January 2014

start page

  • 13

end page

  • 26

issue

  • 1

volume

  • 3

International Standard Serial Number (ISSN)

  • 2255-2863

abstract

  • Conversational agents have become a strong alternative to enhance educational systems with intelligent communicative capabilities, provide motivation and engagement, and increment significant learning and helping in the acquisition of meta-cognitive skills. In this paper, we present Geranium, a multimodal conversational agent that helps children to appreciate and protect their environment. The system, which integrates an interactive chatbot, has been developed by means of a modular and scalable framework that eases building pedagogic conversational agents that can interact with the students using speech and natural language.

subjects

  • Computer Science

keywords

  • conversational agents; multimodal interaction; chatbots; speech; e-learning