Month: November 2021

Investigation of Critical Attributes for Transparency and Operator Performance in Human Autonomy Teaming (TOPHAT) for Intelligent Mission Planning

Teams tend to be high-performing when they have an accurate shared mental model. A shared mental model (SMM) is the understanding of the exterior world, as well as who within a team has both the ability to perform certain tasks as well as the responsibility to see that they are performed correctly. It incorporates understanding bout who […]

IEEE International Conference on Systems, Man, and Cybernetics: Impact of Missing Information and Strategy on Decision Making (Best Paper Award)

Performance Decision makers frequently encounter environments without perfect information, in which factors such as the distribution of missing information and estimates of missing information significantly impact decision accuracy and speed. This work presents an experiment which modifies an environment with missing information (total information, option imbalance, cue balance) and examines user estimates of the missing […]

IEEE International Conference on Systems, Man, Cybernetics Presentation: Differentiating ‘Human in the Loop’ Decision Strategies

Recently, research by groups in academia, industry, and government has shifted toward the development of AI and machine learning tools to advise human decision-making in complex, dynamic problems. Within this collaborative environment, humans alone are burdened with the task of managing team strategy due to the AI-agent’s use of an unrealistic model of the human-agent’s […]

Real-time guidance algorithms for helicopter shipboard landing

Helicopter shipboard landing is one of the most challenging operations for pilots to execute owing to the random ship deck motion, turbulence due to airwake interactions, and poor visibility due to sea sprays, weather conditions and at night. Active research in this field has been focused on developing schemes to either autonomously pilot the vehicle […]