Presentation

· Contributors · Organizations · Search Program · Flagged · Happening Now

Two Sides of the Same Coin? Joint Perspectives from Shared Mental Models and Interactive Team Cognition Theories on Human-AI Team Cognition

DescriptionThe ubiquity of artificial intelligence (AI) has made team cognitive science a foundation for understanding what increasingly complex human-AI interactions can achieve. However, different models and theoretical frameworks from human teamwork literature offer varying explanations for what human-AI team cognition entails. Predominant theoretical frameworks founded on the concept of Shared Mental Models (SMMs) frame team cognition in terms of overlaps between team members’ knowledge structures that help them understand their task context. SMM-based techniques remain widely used to model team performance in knowledge-intensive team tasks; yet, conceptual and methodological concerns about their applicability in human-AI teams (HATs) have prompted the use of other research frameworks. Among these is Interactive Team Cognition (ITC) theory, which posits that team interaction is team cognition—a team-level activity that is observable in real-time. With advancements in both the knowledge and interaction capabilities of AI, this panel will discuss whether and how key intersections between these two theories can contribute to a multi-anchored approach to addressing open research questions about human-AI team cognition.

Moderators

Myke Cohen

Arizona State University