ACT-R/E: An Embodied Cognitive Architecture for Human-Robot Interaction

Greg Trafton, Laura Hiatt, Anthony Harrison, Frank Tamborello, Sangeet Khemlani, Alan Schultz


We present ACT-R/E (Adaptive Character of Thought-Rational / Embodied), a cognitive architecture for human-robot interaction. Our reason for using ACT-R/E is two-fold. First, ACT-R/E enables researchers to build good embodied models of people to understand how and why people think the way they do. Then, we leverage that knowledge of people by using it to predict what a person will do in different situations; e.g., that a person may forget something and may need to be reminded or that a person cannot see everything the robot sees. We also discuss methods of how to evaluate a cognitive architecture and show numerous empirically validated examples of ACT-R/E models.


Human-robot interaction, cognitive modeling, cognitive architectures

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