The goal of this project is to develop and demonstrate theoretical foundations, models, and principles to facilitate effective
HAT design. We propose dynamic, temporally-situated conceptual and computational models of HAT, and adopt a multi-pronged approach to
teaming, incorporating cognitive, behavioral, and social factors. Our approach is trans-disciplinary, drawing on concepts from robotics, AI,
cognitive science, organizational psychology, and human factors. We will explore how teams reason, coordinate, and trust, particularly with
regard to how teams change over time.
This project will address key questions in HAT, including:
Modeling and operationalizing team mental models, for example, looking at how human and robotic teammates can collaboratively achieve a shared understanding of knowledge of tasks and the environment.
Understanding how team dynamics change over time, including when robots take actions to calibrate and maintain their trust in one another, when they jointly act together, and when they engage in shared decision making. Researchers will study teaming temporally, both in real time and over time.
Exploring how two key mediators, coordination and team cognition, affect team performance. Both are understudied in HAT research, yet very important to team outcomes.
This research will advance the state-of-the-art and state-of-the-science
in HAT. By creating new methods that dynamically and temporally model
team evolution and scientifically establishing how autonomy affects
human teammates, this work will yield new insights for HAT in uncertain
environments. Ultimately, this project will: (1) Create innovative,
cognitively-informed conceptual frameworks and computational models of
teaming, (2) Establish core elements of a new interdisciplinary science
of human agent teams, (3) Accelerate the advancement of HAT in mission
critical environments, (4) Pioneer rapid prototyping and rigorous field
testing of new guidelines and interventions for HAT design.
Laurel Riek (PI), Computer Science and Engineering, UC San Diego
Susan Simkins, Psychology, Penn State University
Enginering Psychology, West Point
Tom Griffiths, Psychology and Computer Science, Princeton
Francesco Bullo, Mechanical Engineering, UC Santa Barbara
Angela Yu, Cognitive Science, UC San
Vaibhav Srivastva, Electrical and Computer Engineering, Michigan State University
Vijay Gupta, Electrial and Computer Engineering, Purdue University