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Link to original content: https://doi.org/10.1007/978-3-031-05061-9_38
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Social Intelligence Design for Social Computing

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Social Computing and Social Media: Design, User Experience and Impact (HCII 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13315))

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Abstract

Social intelligence Design (SID) is about the impact and significance of technology in our lives, work, home, and on the move. Social Intelligence is defined as the ability of people to relate to, understand and interact effectively with others. The central question is how it can be empowered using emerging technologies.

In the information society, new technologies have huge impact on the way people work, interact, and collaborate. They influence the ways they develop personal relationships, as well as enhancing interpersonal communication and professional performance.

At the same time, these technologies might amplify miscommunication and bring about new threats and fears. A notorious example is a flaming war, a barrage of postings containing abusive personal attacks, insulting, or chastising replies to other people, which has not been so disastrous before the networked society. Moreover, they provide effective channels for spreading misinformation, catfishing or grooming potential victims, thus amplifying the damaging effects of social misdemeanours.

In this paper we address the issues of both beneficial and damaging impacts of emerging technologies on social intelligence and suggest ways of addressing them in the context of social intelligence design (SID). SID is focused not only on the technology design but also on the cognitive, social and organizational context of its use. In this paper we take a holistic approach to emerging technologies inspired by Artificial Intelligence research, bearing in mind their real-life significance [1].

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Notes

  1. 1.

    https://www.obayashi.co.jp/thinking/detail/project61.html.

  2. 2.

    ACROSSING — (http://www.acrossing-itn.eu), 2016 – 2020; Caring Homes as Learning Environments, 2017; SWAN Innovation Project, 2009 – 2011; Ifdentity project, funded by UNESCO, 2010 – 2011; IS-VIT (Interaction Space of the Virtual IT Workplace), 2009 – 2010; Digital Evidence in Legal Practice (UK, Croatia, Saudi Arabia) 2020–2022 - details available from D. Rosenberg research@icomict.org.

  3. 3.

    Digital Inclusion project funded by the local authority awarded to Age UK and Multicultural Richmond Charities 2022 – 2024.

References

  1. Nishida, T.: Social intelligence design — an overview. In: Terano, T., Ohsawa, Y., Nishida, T., Namatame, A., Tsumoto, S., Washio, T. (eds.) JSAI 2001. LNCS (LNAI), vol. 2253, pp. 3–10. Springer, Heidelberg (2001). https://doi.org/10.1007/3-540-45548-5_1

    Chapter  Google Scholar 

  2. Fruchter, R., Nishida, T., Rosenberg, D.: Understanding mediated communication: the social intelligence design (SID) approach. AI Soc. 19(1), 1–7 (2005). https://doi.org/10.1007/s00146-004-0297-y

  3. Clark, H.: Common ground. In: Using Language (Using Linguistic Books), pp. 92–122. Cambridge University Press, Cambridge (1996). https://doi.org/10.1017/CBO9780511620539.005

  4. Devlin, K.: A Framework for modelling evidence-based, context-influenced reasoning (2003). https://web.stanford.edu/~kdevlin/Papers/ContextLogic.pdf

  5. Miura, A., Matsumura, N.: Social intelligence design: a junction between engineering and social sciences. AI Soc. 23, 139–145 (2009). https://doi.org/10.1007/s00146-007-0139-9

    Article  Google Scholar 

  6. Nishida, T.: Social intelligence design for the web. Comput. 35(11), 37–41 (2002)

    Google Scholar 

  7. Gill, K.S. (ed): Human-Machine Symbiosis: the Foundations of Human-Centred Systems Design. Springer (2012) ISBN-13:978–3–540–76024–5

    Google Scholar 

  8. Notsu, A., Ichihashi, H., Honda, K., Katai, O.: Visualization of balancing systems based on naïve psychological approaches. AI Soc. 23(2), 281–296 (2009). https://philpapers.org/rec/NOTVOB

  9. Nijholt, A., Stock, O., Nishida, T.: Social intelligence design in ambient intelligence. AI Soc. 24, 1–3 (2009). https://doi.org/10.1007/s00146-009-0192-7

    Article  Google Scholar 

  10. Cardon, J.C., Cardon, A.: Artificial emotions for robots using massive multi-agent systems; Social Intelligence Design International Conference (SID 2003), London (2003)

    Google Scholar 

  11. Fukuhara, T., Fujihara, N., Azechi, S., Kubota, H., Nishida, T.: Public opinion channel: a network-based interactive broadcasting system for supporting a knowledge-creating community. In: Howlett, R., Ichalkaranje, N., Jain, L., Tonfoni, G. (eds.) Internet-Based Intelligent Information Processing Systems, chapter 7, World Scientific Publishing (2003)

    Google Scholar 

  12. Horita, M.: Folding arguments: a method for representing conflicting views of a conflict. Group Decis. Negot. 9(1), 63–83 (2000)

    Article  Google Scholar 

  13. Azechi, S.: Informational humidity model: explanation of dual modes of community for social intelligence design. AI & Soc 19, 110–122 (2005). https://doi.org/10.1007/s00146-004-0304-3

    Article  Google Scholar 

  14. Fruchter, R.: Degrees of engagement in interactive workspaces. AI Soc. 19(1), 8–21 (2005)

    Article  Google Scholar 

  15. Gill, S.: Designing for Knowledge Transfer; Springer (2012). ISBN-13:978–3–540–76024–5

    Google Scholar 

  16. Martin, M., Heylighen, A., Cavallin, H.: The right story at the right time. AI Soc. 19(1), 34-47 (2005)

    Google Scholar 

  17. Shoji, H., Hori, K.: S-Conart: an interaction method that facilitates concept articulation in shopping online. AI Soc. 19(1), 65–83 (2005)

    Article  Google Scholar 

  18. Nishida, T., Nakazawa, A., Ohmoto, Y., Mohammad, Y.: Conversational informatics: In: A Data-Intensive Approach with Emphasis on Nonverbal Communication, Springer (2014)

    Google Scholar 

  19. Fruchter, R.: When 21st Century Technologies Meet the Oldest Engineering Discipline, Keynote at the CIB W78 International Conference, Luxemburg (2021). https://youtu.be/jHFrv8iIC5Q

  20. Grey, F.: Space-mate: a framework to harmonize occupant well-being and building sustainability, Ph.D. Thesis, Civil and Environmental Engineering Department, Stanford University (2019) https://purl.stanford.edu/ks134sx2073

  21. Walkowski, S., Doerner, R., Lievonen, M., Rosenberg, D.: Using game controller for relaying deictic gestures in computer mediated communication. Int. J. Hum.-Comput. Stud. 69(6), 362–374 (2011). ISSN 1071–5819, https://doi.org/10.1016/j.ijhcs.2011.01.002

  22. Stipancic, T., Rosenberg, D.: PLEAA: a social robot with teaching and interacting capabilities. J. Pacific Rim Psychol. Spec. Issue Equity Qual. Learn. Glob. Digit. World. Forthcoming 15(18344909211037019) (2021)

    Google Scholar 

  23. Stipancic, T., Rosenberg, D., Jerbic, B.: Computation Approach for Realisation of Context-Aware Robots, Conference on Information and Graphic Arts Technology (2018)

    Google Scholar 

  24. Stipancic, T., Nishida, T., Rosenberg, D., Jerbic, B.: Context driven model for simulating human perception — a design perspective. In: DCC 2016 (Design, Computing and Communication (2016) http://dccconferences.org/dcc16/

  25. Villena, S., et al.: Image super-resolution for outdoor digital forensics. Usability Legal Aspects, Elsevier Comput. Ind. 98, 34–47 (2018)

    Google Scholar 

  26. Wagner, I., He, Y., Rosenberg, D., Janicke, H.: User interface design for privacy awareness in eHealth technologies. In: 1st International Workshop on Ambient Assisted Living (AALEH 2016) in Proceedings of IEEE CCNC 2016 (2016) http://ccnc2016.ieee-ccnc.org/content/workshops

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Author information

Authors and Affiliations

  1. PBL Lab, CIFE, Stanford University, California, USA

    Renate Fruchter

  2. University of Fukuchiyama, Kyoto, Japan

    Toyoaki Nishida

  3. University of London, London, UK

    Duska Rosenberg

Authors
  1. Renate Fruchter
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  2. Toyoaki Nishida
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  3. Duska Rosenberg
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Corresponding author

Correspondence to Toyoaki Nishida .

Editor information

Editors and Affiliations

  1. Towson University, Towson, MD, USA

    Gabriele Meiselwitz

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Fruchter, R., Nishida, T., Rosenberg, D. (2022). Social Intelligence Design for Social Computing. In: Meiselwitz, G. (eds) Social Computing and Social Media: Design, User Experience and Impact. HCII 2022. Lecture Notes in Computer Science, vol 13315. Springer, Cham. https://doi.org/10.1007/978-3-031-05061-9_38

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  • DOI: https://doi.org/10.1007/978-3-031-05061-9_38

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-031-05061-9

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