Unpacking team process dynamics and emergent phenomena: Challenges, conceptual advances, and innovative methods

Area of Science:

• Psychology
• Organizational Behavior
• Human-Computer Interaction

Background:

• Decades of research show team effectiveness relies on cognitive, motivational, affective, and behavioral processes.
• Existing research often treats dynamic team processes as static, limiting understanding.
• Team phenomena are multilevel and emerge from member interactions over time within changing contexts.

Purpose of the Study:

• Advance the science of team effectiveness by addressing limitations in current research.
• Propose theoretical development for multilevel, dynamic, and emergent team phenomena.
• Introduce innovative methodologies to capture team process dynamics.

Main Methods:

• Explication of the foundation for team effectiveness research.
• Description of two promising research streams: team interaction sensors and computational modeling.
• Focus on unobtrusive measurement techniques and process-oriented research methods.

Main Results:

• Team interaction sensors offer new ways to unobtrusively measure team dynamics.
• Computational modeling provides advanced methods for analyzing process-oriented teamwork.
• Both methodologies aim to capture the dynamics of cohesion and cognition in teams.

Conclusions:

• Innovative methodologies are essential for advancing the science of team effectiveness.
• Future research should focus on process-oriented theories and methods.
• Team interaction sensors and computational modeling represent key advancements in measuring team dynamics.