AI & SOCIETY

, Volume 22, Issue 2, pp 185–196 | Cite as

A two-layered approach to communicative artifacts

  • Yong Xu
  • Tatsuya Hiramatsu
  • Kateryna Tarasenko
  • Toyoaki Nishida
  • Yoshiyasu Ogasawara
  • Takashi Tajima
  • Makoto Hatakeyama
  • Masashi Okamoto
  • Yukiko I. Nakano
Open Forum

Abstract

A key issue in social intelligence design is the realization of artifacts that can fluently communicate with people. Thus, we proposed a two-layered approach to enhance a robot’s capacity of involvement and engagement. The upper layer flexibly controls social interaction by dynamic Bayesian networks (DBN) representing social interaction patterns. The lower layer improves the robustness of the system by detecting rhythmic and repetitive gestures. We designed a listener robot that can follow and record humans’ explanation on how to assemble and/or disassemble a bicycle. The implementation of this system is described by assembling the key algorithms presented in this paper.

References

  1. Aikawa M (2000) Techniques of human relation—psychology of social skills, In: Saiensu-Sha (ed)Selection of social psychology, No. 20, (in Japanese)Google Scholar
  2. Hatakeyama M (2004) Human–robot interaction based on interaction schema, Master Thesis, University of Tokyo, Japan (in Japanese)Google Scholar
  3. Kipp M (2004) Gesture generation by imitation: from human behavior to computer character animation, Boca Raton, DissertationGoogle Scholar
  4. Matsusaka Y, Fujie S, Kobayashi T (2001) Modeling of conversational strategy for the robot participating in the group conversation, In: Proceedings International Speech Communication Association (ISCA)-EUROSPEECH2001, pp 2173–2176Google Scholar
  5. Okamoto M, Nakano I Y, Nishida T (2004) Toward enhancing user involvement via empathy channel in human-computer interface design, In: Proceedings of international workshop on intelligent media technology for communicative intelligence (IMTfCI 2004), Warsaw, September, pp 129–132Google Scholar
  6. Ogasawara Y, Okamoto M, Nakano IY, Nishida T (2005) Establishing natural communication environment between a human and a listener robot, In: Proceedings of social intelligence and interaction in animals, robots and agent (AISB 2005), conversational informatics for supporting social intelligence and interaction: situational and environmental information enforcing involvement in conversation, England, April, pp 42–51Google Scholar
  7. Reeves B, Nass C (1996) The media equation: how people treat computers, television, and new media like real people and places, CSLI PublicationsGoogle Scholar
  8. Tajima T, Xu Y, Nishida T (2004) Entrainment based human-agent interaction, In: Proceedings of 2004 IEEE Conf. on Robotics, Automation and Mechatronics (RAM2004), Singapore, pp 1042–1047Google Scholar
  9. Tarasenko K, Nishida T (2006) Dynamic Bayesian Networks for modelling of alignment and mutual adaptation with communicative robots, In: Proceedins of workshop of social intelligence design (SID2006), pp 39–46Google Scholar
  10. Tomasello M (1999) The cultural origins of human cognition, Harvard University Press, CambridgeGoogle Scholar
  11. Watanabe T, Ogawa H (2001) InterRobot for human interaction and communication support. In: Proceedings of world multi-conference on systems, cybernetics and informatics (SCI2001) pp 466–471Google Scholar

Copyright information

© Springer-Verlag London Limited 2007

Authors and Affiliations

  • Yong Xu
    • 1
  • Tatsuya Hiramatsu
    • 1
  • Kateryna Tarasenko
    • 1
  • Toyoaki Nishida
    • 1
  • Yoshiyasu Ogasawara
    • 2
  • Takashi Tajima
    • 2
  • Makoto Hatakeyama
    • 2
  • Masashi Okamoto
    • 3
  • Yukiko I. Nakano
    • 4
  1. 1.Graduate School of InformaticsKyoto UniversityKyotoJapan
  2. 2.Graduate School of Information Science and TechnologyThe University of TokyoTokyoJapan
  3. 3.Katayanagi Advanced Research LaboratoriesTokyo University of TechnologyTokyoJapan
  4. 4.Department of Computer and Information SciencesTokyo University of Agriculture and TechnologyTokyoJapan

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