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Computational Indicators to Assist Meeting Facilitation

Author

Listed:
  • Adriana S. Vivacqua

    (Federal University of Rio de Janeiro)

  • Leandro Carreira Marques

    (Federal University of Rio de Janeiro)

  • Marcos S. Ferreira

    (Federal University of Rio de Janeiro)

  • Jano M. Souza

    (Federal University of Rio de Janeiro)

Abstract

In many group work settings, meetings take up a reasonable amount of time and often do not achieve satisfactory outcomes. One of the techniques that has been introduced to ensure meetings run smoothly and reach their goals places an individual in the role of meeting facilitator. Facilitation involves putting together the meeting agenda, designing meeting dynamics and overseeing the meeting at run time, to ensure goals are met. This may involve intervening or adjusting meeting structure to produce desired results. Thus, a facilitator should be able to act according to perceived group dynamics or problems. In this paper, we investigate information needs during facilitation activities. Based on initial investigations, we describe a meeting support system constructed to aid the facilitator in assessing meeting dynamics and a preliminary evaluation. Our goal is to provide information to the facilitator so he or she can better decide when to act and what to do.

Suggested Citation

  • Adriana S. Vivacqua & Leandro Carreira Marques & Marcos S. Ferreira & Jano M. Souza, 2011. "Computational Indicators to Assist Meeting Facilitation," Group Decision and Negotiation, Springer, vol. 20(5), pages 667-684, September.
    • Handle: RePEc:spr:grdene:v:20:y:2011:i:5:d:10.1007_s10726-011-9235-9
    DOI: 10.1007/s10726-011-9235-9
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    References listed on IDEAS

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    1. Herbert A. Simon, 1955. "A Behavioral Model of Rational Choice," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 69(1), pages 99-118.
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    Cited by:

    1. Mireille Ducassé & Peggy Cellier, 2014. "Fair and Fast Convergence on Islands of Agreement in Multicriteria Group Decision Making by Logical Navigation," Group Decision and Negotiation, Springer, vol. 23(4), pages 673-694, July.
    2. Hassan Ait Haddou & Guy Camilleri & Pascale Zaraté, 2014. "Prediction of Ideas Number During a Brainstorming Session," Group Decision and Negotiation, Springer, vol. 23(2), pages 271-298, March.
    3. Geimer, Jennifer L. & Leach, Desmond J. & DeSimone, Justin A. & Rogelberg, Steven G. & Warr, Peter B., 2015. "Meetings at work: Perceived effectiveness and recommended improvements," Journal of Business Research, Elsevier, vol. 68(9), pages 2015-2026.
    4. Henner Gimpel & Vanessa Graf-Seyfried & Robert Laubacher & Oliver Meindl, 2023. "Towards Artificial Intelligence Augmenting Facilitation: AI Affordances in Macro-Task Crowdsourcing," Group Decision and Negotiation, Springer, vol. 32(1), pages 75-124, February.

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