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Measuring Real-time Coordination Dynamics: Extensible Models and Metrics for Human-AI-Robot Teaming

February 8, 2022

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As conditions change and perturbations are encountered, purposeful, goal-oriented systems, including engineered human-AI-robot systems, must adaptively reorganize to maintain effectiveness in dynamic environments. There is a rich history of research on complexity and self-organization that speaks to these processes. However, integrating teams of human and machine operators seamlessly remains challenging. This talk will present recent work on extensible models and metrics for tracking real-time system reorganization and adaptation in dynamic environments, including human-human and human-AI teaming applications. Examples include an information-based language (layered dynamics) for analyzing coordination dynamics across human and technological components using a common modeling language, measuring system adaptation and resilience, and localizing where in the system (e.g., human layers, technological layers, spanning across layers) reorganization and adaptation occur. This talk presents the view that development, validation, and transitioning of real-time team modeling languages and metrics are at the forefront of next-generation human-AI-robot systems.

Dr. Jamie Gorman is an Associate Professor in Engineering Psychology at Georgia Tech. His research on team performance in complex sociotechnical settings includes medical, military, educational, space, and sports settings. His research focuses on understanding and modeling team coordination dynamics using dynamical systems theory, computational modeling, and real-time methods by combining communication (speech pattern analysis), perceptual-motor (eye and motion tracking), vehicle/equipment (positioning, movement, and status), and neurophysiological (EEG) data. Dr. Gorman is recognized for his work on team coordination dynamics, and he has published over 45 journal articles and book chapters on the topic. His research has been funded by AFOSR, AFRL, ARL, DARPA, ONR, and NSF. Dr. Gorman is a member of the Human Factors and Ergonomics Society and the NSF Institute for Student-AI Teaming. He serves on the editorial boards of Human Factors and the Journal of Experimental Psychology: Applied. In 2011, he and his coauthors received the Ely Award for the best paper published in Human Factors.

1 – 2 pm AZ Talk
ASU Polytechnic Campus, Santa Catalina 133

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Human, AI and robot teaming