Abstract
Conversation is a natural and powerful means of communication for people to collaboratively create and share information. People are skillful in expressing meaning by coordinating multiple modalities, interpreting utterances by integrating partial cues, and aligning their behavior to pursuing joint projects in conversation. A big challenge is to build conversational artifacts – such as intelligent virtual agents or conversational robots – that can participate in conversation so as to mediate the knowledge process in a community. In this article, I present an approach to building conversational artifacts. Firstly, I will highlight an immersive WOZ environment called ICIE (Immersive Collaborative Interaction Environment) that is designed to obtain detailed quantitative data about human-artifact interaction. Secondly, I will overview a suite of learning algorithms for enabling our robot to build and revise a competence of communication as a result of observation and experience. Thirdly, I will argue how conversational artifacts might be used to help people work together in multi-cultural knowledge creation environments.
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Nishida, T. (2011). Towards Conversational Artifacts. In: Hu, B., Liu, J., Chen, L., Zhong, N. (eds) Brain Informatics. BI 2011. Lecture Notes in Computer Science(), vol 6889. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23605-1_4
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DOI: https://doi.org/10.1007/978-3-642-23605-1_4
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