Applied Research

On Interacting with Collective Knowledge of Group Facilitation


Group decision process design is a well-known class of ill-structured, dynamic, and going-concerns problem. The paper presents a human-computer interaction engineering approach to design a software prototype that provides personalized, contextual and actionable recommendations for this problem. The approach emphasizes the computational aspects of collective intelligence to structure these recommendations based on the collective knowledge that reflects not only the design space per se, but the collective experience in exploiting it as well. It is demonstrated by: 1) detailing the engineering issues of an implemented prototype for the group decision process design; and 2) explaining its functionalities through a representative set of interaction scenarios.


  • C-tin B. Zamfirescu
  • Ciprian Candea

Publication type

Book Section

Published in

Computational Collective Intelligence. Technologies and Applications


Springer International Publishing




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