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Adaptive Collaborative Intelligence: Key Strategies for Sensemaking in the Wild

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HCI International 2021 - Late Breaking Papers: Cognition, Inclusion, Learning, and Culture (HCII 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 13096))

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Abstract

In the real world, no one makes decision alone. Whether developing community responses during a pandemic, intelligence driven military operations, or business plans in turbulent economic times, effective collaboration and coordination between teams, across organizational levels, and organizations is often critical for success. For example, disaster response systems often require local personnel to estimate supply needs they have little or no experience with, resulting in wasted effort, wasted resources, or worse failure to deliver. To support adaptive systems for collaboration, one must first identify key dimensions of collaborative sensemaking that need to be adaptive. In this paper, I review several themes of collaboration from field studies we conducted against a literature review of ethnographic studies to highlight the role of adaptive collaborative intelligence in operational teams. Three collaborative themes are highlighted: coordinate through awareness of work progress, attention, while not disrupting, and supporting layers of context. They provide initial suggestions for where adaptive systems could support collaborative intelligence .

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Author information

Authors and Affiliations

  1. Michigan Technological University, Houghton, MI, USA

    Elizabeth S. Veinott

Authors
  1. Elizabeth S. Veinott
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Corresponding author

Correspondence to Elizabeth S. Veinott .

Editor information

Editors and Affiliations

  1. University of Crete and Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Constantine Stephanidis

  2. Coventry University, Coventry, UK

    Don Harris

  3. Safety and Accident Investigation Centre, Cranfield University, Cranfield, UK

    Wen-Chin Li

  4. Soar Technology Inc., Orlando, FL, USA

    Dylan D. Schmorrow

  5. Design Interactive, Inc., Orlando, FL, USA

    Cali M. Fidopiastis

  6. Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Margherita Antona

  7. Tsinghua University, Beijing, China

    Qin Gao

  8. Chongqing University, Chongqing, China

    Jia Zhou

  9. Department of Multimedia and Graphic Arts, Cyprus University of Technology, Limassol, Cyprus

    Panayiotis Zaphiris

  10. Department of Multimedia and Graphic Arts, Cyprus University of Technology, Limassol, Cyprus

    Andri Ioannou

  11. Soar Technology Inc., Orlando, FL, USA

    Robert A. Sottilare

  12. MMS, Fraunhofer FKIE, Wachtberg, Nordrhein-Westfalen, Germany

    Jessica Schwarz

  13. Industrial Design, Eindhoven University of Technology, Eindhoven, Noord-Brabant, The Netherlands

    Matthias Rauterberg

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Veinott, E.S. (2021). Adaptive Collaborative Intelligence: Key Strategies for Sensemaking in the Wild. In: Stephanidis, C., et al. HCI International 2021 - Late Breaking Papers: Cognition, Inclusion, Learning, and Culture. HCII 2021. Lecture Notes in Computer Science(), vol 13096. Springer, Cham. https://doi.org/10.1007/978-3-030-90328-2_8

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  • DOI: https://doi.org/10.1007/978-3-030-90328-2_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-90327-5

  • Online ISBN: 978-3-030-90328-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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