Social intelligence design for knowledge circulation

  • Authors:

  • Toyoaki Nishida

  • Affiliations:

  • Graduate School of Informatics, Kyoto University, Sakyo-ku, Kyoto, Japan

  • Venue:
  • DNIS'10 Proceedings of the 6th international conference on Databases in Networked Information Systems
  • Year:
  • 2010

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Abstract

Knowledge circulation is indispensable to improving the coverage and quality of knowledge shared in a community. In order for information and communication technologies to be successfully applied to realize knowledge circulation, social aspects need to be considered so that the technologies can be properly embedded into the society. This issue has been addressed in social intelligence design, a field of research aiming at understanding and augmenting social intelligence based on a bilateral definition of social intelligence as an individual’s ability to better live in a social context and a group’s ability to collectively solve problems and learn from experiences. In this paper, based on an overview of social intelligence design research, I present a generic framework of conversational knowledge circulation in which conversation is used as a primary means for communicating knowledge. I present attentive agents, autonomous interaction learner, situated knowledge management, self-organizing incremental memory, immersive conversation environment, as key technologies in conversational quantization for conversational knowledge circulation.