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Related Experiment Video

Updated: Aug 21, 2025

The HoneyComb Paradigm for Research on Collective Human Behavior

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

Collective intelligence in teams: Contextualizing collective intelligent behavior over time.

Margo Janssens¹, Nicoleta Meslec¹, Roger Th A J Leenders^1,2

¹Department of Organization Studies, University of Tilburg, Tilburg, Netherlands.

Frontiers in Psychology

|November 17, 2022

Summary

Collective intelligence (CI) in teams is more than just outcomes; it lies in real-time team interactions aligning with tasks and environments. Understanding these processes enables targeted interventions to enhance team performance.

Keywords:

collective intelligence environment interaction team behavior team processes time

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Area of Science:

Organizational Psychology
Team Dynamics
Cognitive Science

Background:

Collective intelligence (CI) is often assessed solely by team outcomes.
A deeper understanding of the dynamic processes underlying CI is needed.

Purpose of the Study:

To disentangle the core of actual collective intelligent team behavior over time.
To shift the focus from outcomes to the interaction processes within teams.
To propose a more nuanced understanding of CI in organizational teams.

Main Methods:

Analyzing longitudinal, fine-grained interactional processes during team collaboration.
Examining how collective behaviors align with task requirements and environmental changes.
Developing a framework for studying CI based on real-time behaviors.

Main Results:

Collective intelligence resides in the interaction processes, not just outcomes.
Teams exhibit CI when their behaviors align with task and environmental demands over time.
A new research agenda focusing on longitudinal micro-level behaviors is proposed.

Conclusions:

Understanding the temporal dynamics of team interactions is crucial for a nuanced view of CI.
This research facilitates targeted interventions to improve team collective intelligence.
The study provides methodological considerations for future CI research.