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Social Intelligence Design and Human Computing

  • Conference paper
Artifical Intelligence for Human Computing

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4451))

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Abstract

The central concern of Social Intelligence Design is the under-standing and augmentation of social intelligence that might be attributed to both an individual and a group. Social Intelligence Design addresses understanding and augmentation of social intelligence resulting from bilateral interaction of intelligence attributed to an individual to coordinate her/his behavior with others in a society and that attributed to a collection of individuals to achieve goals as a whole and learn from experiences. Social intelligence can be addressed from multiple perspectives. In this chapter, I will focus on three aspects. First, I highlight interaction from the social discourse perspective in which social intelligence manifests in rapid interaction in a small group. Second, I look at the community media and social interaction in the large, where slow and massive interaction takes place in a large collection of people. Third, I survey work on social artifacts that embody social intelligence. Finally, I attempt to provide a structured view of the field.

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References

  1. Azechi, S.: Community based Social Intelligence. In: SID-2001 (2001)

    Google Scholar 

  2. Biswas, P., Fruchter, R.: Using Gestures to Convey Internal Mental Models and Index Mutimedia Contents. AI & Society, to appear

    Google Scholar 

  3. Blake, E., Tucker, W.: User Interfaces for Communication across the digital divide. AI & Society, to appear

    Google Scholar 

  4. Bond, A.H.: Modeling Social Relationship – An agent architecture for voluntary mutual control. In: Dautenhahn, K., et al. (eds.) Socially Intelligent Agents – Creating Relationships with Computers and Robots, Kluwer Academic Publishers, pp. 29–36. Kluwer Academic Publishers, Dordrecht (2002)

    Google Scholar 

  5. Bono, M., Suzuki, N., Katagiri, Y.: An Analysis of Participation Structures in Multi-Party Conversations: Do interaction behaviors give clues to know your interest? Journal of Japanese Cognitive Science Society 3(11), 214–227 (2004)

    Google Scholar 

  6. Erickson, T.: ’Social’ Systems: Designing Digital Systems that Support Social Intelligence. To appear in AI and Society

    Google Scholar 

  7. Fruchter, R.: Bricks & Bits & Interaction. In: Terano, T., et al. (eds.) JSAI-WS 2001. LNCS (LNAI), vol. 2253, Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  8. Fruchter, R., Nishida, T., Rosenberg, D.: Understanding mediated communication: the social intelligence design (SID) approach. AI & Society 19(1), 1–7 (2005)

    Article  Google Scholar 

  9. Fruchter, R., Nishida, T., Rosenberg, D.: Mediated Communication in Action: a Social Intelligence Design Approach. AI & Society, to appear

    Google Scholar 

  10. Gill, S.P., Borchers, J.: Knowledge in Co-Action: Social Intelligence in Using Surfaces for Collaborative Design Tasks, presented at SID-2003 (2003)

    Google Scholar 

  11. Goffman, E.: Forms of talk. University of Pennsylvania Press, Philadelphia (1981)

    Google Scholar 

  12. Huang, H., et al.: Toward a Universal Platform for Integrating Embodied Conversational Agent Components. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds.) KES 2006. LNCS (LNAI), vol. 4252, pp. 220–226. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  13. Kendon, A., Ferber, A.: A Description of Some Human Greetings. In: Michael, R.P., Crook, J.H. (eds.) Comparative Ecology and Behaviour of Primates, Academic Press, London (1973)

    Google Scholar 

  14. Kendon, A.: Gesture: Visible Action as Utterance. Cambridge University Press, Cambridge (2004)

    Google Scholar 

  15. Mark, G., DeFlorio, P.: HDTV: a challenge to traditional video conferences? Publish-only paper, SID-2001 (2001)

    Google Scholar 

  16. Matsumura, K.: The Measures for the Evaluation of Communication Tools: the Causality between the Intention and Users’ Subjective Estimation of Community. In: Proceedings of the 3rd Workshop on Social Intelligence Design (SID 2004), pp. 85–90 (2004)

    Google Scholar 

  17. McNeill, D.: Gesture and Thought. University of Chicago Press, Chicago (2005)

    Google Scholar 

  18. Miura, A., Shinohara, K.: Social intelligence design in online chat communication: a psychological study on the effects of ”congestion”. AI & Soc. 19, 93–109 (2005)

    Article  Google Scholar 

  19. Mohammad, Y.F.O., Nishida, T.: NaturalDraw: Interactive Perception Based Drawing for Everyone. In: Proc. 2007 International Conference on Intelligent User Interfaces (IUI 2007), pp. 251–260 (2007)

    Google Scholar 

  20. Mohammad, Y.F.O., Nishida, T.: Intention through Interaction: Toward Mutual Intention in Real World Interactions. In: Okuno, H.G., Ali, M. (eds.) IEA/AIE 2007. LNCS (LNAI), vol. 4570, Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  21. Nijholt, A.: From Virtual Environment to Virtual Community. In: Terano, T., et al. (eds.) JSAI-WS 2001. LNCS (LNAI), vol. 2253, Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  22. Nijholt, A., Nishida, T.: Social intelligence design for mediated communication. AI & Soc. 20, 119–124 (2006)

    Article  Google Scholar 

  23. Nijholt, A., Op Den Akker, R., Heylen, D.: Meetings and Meeting Modeling in Smart Environment. AI & Soc. 20, 202–220 (2006)

    Article  Google Scholar 

  24. Nishida, T.: Social Intelligence Design – An Overview. In: Terano, T., et al. (eds.) JSAI-WS 2001. LNCS (LNAI), vol. 2253, Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  25. Nishida, T., et al.: Towards Robots as an Embodied Knowledge Medium, Invited Paper, Special Section on Human Communication II. IEICE Trans. Information and Systems E89-D(6), 1768–1780 (2006)

    Article  Google Scholar 

  26. Ohguro, T., et al.: FaintPop: In Touch with the Social Relationships. In: Terano, T., et al. (eds.) JSAI-WS 2001. LNCS (LNAI), vol. 2253, pp. 11–18. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  27. Ohmoto, Y., Ueda, K., Ohno, T.: The real-time system of measuring gaze direction and facial features, and applying the system to discriminating lies by diverse nonverbal information. Presented at SID-2006 (2006)

    Google Scholar 

  28. Ohya, T., et al.: Towards Robot as an Embodied Knowledge Medium—Having a robot talk to humans using nonverbal communication means Presented at SID-2006 (2006)

    Google Scholar 

  29. Reeves, B., Nass, C.: The Media Equation: How People Treat Computers, Television, and New Media Like Real People and Places. Cambridge University Press, Cambridge (1996)

    Google Scholar 

  30. Rienks, R., Nijholt, A., Barthelmess, P.: Pro-active Meeting Assistants: Attention Please! Presented at SID-2006 (2006)

    Google Scholar 

  31. Rosenberg, D., et al.: Interaction spaces in computer-mediated communication. AI & Soc. 19, 22–33 (2005)

    Article  Google Scholar 

  32. Sacks, H., Schegloff, E., Jefferson, G.: A simplest systematics for the organization of turn-taking for conversation. Language 50(4), 695–737 (1974)

    Article  Google Scholar 

  33. Saito, K., et al.: Analysis of Conversation Quanta for Conversational Knowledge Circulation. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds.) KES 2005. LNCS (LNAI), vol. 3683, pp. 296–302. Springer, Heidelberg (2005)

    Google Scholar 

  34. Xu, Y., et al.: experiments for understanding mutual adaptation. AI & Society, to appear

    Google Scholar 

  35. Yamashita, K., Nishida, T.S.: SIQ (Social Intelligence Quantity): Evaluation Package for Network Communication Tools. In: APCHI 2002, 5th Asia Pacific Conference on Computer Human Interaction, Beijing, China, 1-4 November (2002)

    Google Scholar 

  36. Yin, Z., Fruchter, R.: I-Dialogue: Information Extraction from Informal Discourse. AI & Society (to appear)

    Google Scholar 

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Authors and Affiliations

  1. Graduate School of Informatics, Kyoto University, Sakyo-ku, Kyoto 606-8501, Japan

    Toyoaki Nishida

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  1. Toyoaki Nishida
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Thomas S. Huang Anton Nijholt Maja Pantic Alex Pentland

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Nishida, T. (2007). Social Intelligence Design and Human Computing. In: Huang, T.S., Nijholt, A., Pantic, M., Pentland, A. (eds) Artifical Intelligence for Human Computing. Lecture Notes in Computer Science(), vol 4451. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72348-6_10

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  • DOI: https://doi.org/10.1007/978-3-540-72348-6_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72346-2

  • Online ISBN: 978-3-540-72348-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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