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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.

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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

  • Print ISBN: 978-3-031-05060-2

  • Online ISBN: 978-3-031-05061-9

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