This project aims to design wargames for space scenarios for the next 20 years, particularly in the xGEO domain. The xGEO domain presents new challenges as many operators do not have experience in this domain, resulting in training gaps. We are focused on designing scenarios specific to the cislunar space. Starting now, this project is […]
Exploring Shared Mental Models in Household Human-Robot Teams
In human-human teams, we often infer the situation awareness of our teammates to inform our planning and decision-making. What if we applied this to human-AI teams? This project explores how autonomous systems can estimate the belief states of human teammates. We deploy a robot agent to a collaborative household cooking domain, where the agent constructs […]
Project SURI: Multi-Phenomenological, Autonomous, and Understandable SDA and XDA Decision Support
As a multi-institutional effort between CU Boulder, Georgia Tech, and Texas A&M, this research serves to utilize developments in cognitive engineering, autonomy, and decision-making in the context of modern astrodynamics to improve multi-target tracking and dim object detection. While CU Boulder & Texas A&M will be focusing on sensor exploitation, placement, and processing, the CEC […]
Prof. Feigh Participates in NASA’s Imagin Aviation Workshop
Prof. Karen Feigh participated in the Imagin Aviation Workshop Panel that discussed Advanced Air Mobility: Moving Through the Tech and Innovation Lifecycle. The outlook for aviation is looking decidedly futuristic with capabilities like eVTOL air taxis, autonomous regional transport, and drone delivery already on the horizon. Advanced air mobility (AAM) has captured the public’s imagination […]
Walsh presents at IEEE International Conference on Systems, Man, and Cybernetics
Sarah Walsh presented her paper ‘Mental Models of AI Performance and Bias of Nontechnical Users’ at the 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC). This work investigates users’ mental models of an AI-decision aid. The paper details an experiment designed within the ‘Disaster Relief’ experimental environment.
Ranjani Narayanan presents at 67th Annual Meeting of the Human Factors and Ergonomics Society
Ranjani presented her paper along with Sarah Walsh on “Development of Mental Models in Decision Making Tasks” at the 67th Annual Meeting of the Human Factors and Ergonomics Society (HFES) in Washington D.C. This work investigates the dynamic behavior of users’ decision strategies and the stability and predictability of their mental models over time.
Journal Paper Published in the Journal of Cognitive Engineering and Decision Making
Understanding Human Decision Processes: Inferring Decision Strategies From Behavioral Data Sarah E. Walsh and Karen M. Feigh Full content can be found at: https://journals.sagepub.com/doi/pdf/10.1177/15553434221122899
Journal Paper Published in Theoretical Issues in Ergonomics Science
The role of shared mental models in human-AI teams: a theoretical review Robert W. Andrews, J. Mason Lilly, Divya Srivastava & Karen M. Feigh Full content can be found at: https://www.tandfonline.com/doi/pdf/10.1080/1463922X.2022.2061080
CEC PhD Students Win 1st and 2nd Place Doctoral Doctoral Research Awards at ICHMS 2022
The 2022 IEEE International Conference on Human-Machine Systems (ICHMS), held in Orlando, Florida, conducted a Doctoral Research Award Competition (DAC) or doctoral research contributions. Contributions were ranked for both paper submissions and conference presentations by a conference review team. Two CEC Lab members won awards, Sarah Walsh (5th year Robotics PhD Candidate) and Divya Srivastava (5th year […]
Divya Srivastava Presents at 5th International Conference on Human Computer Interaction Theory and Applications (HUCAPP 2021)
FEB 10, 2021 — 3rd-year CEC graduate student, Divya Srivastava, presents her work, “Effect of Interaction Design of Reinforcement Learning Agents on Human Satisfaction in Partially Observable Domains” virtually at the 5th International Conference on Human Computer Interaction Theory and Applications (HUCAPP 2021). The work is coauthored by Spencer Frazier (GT’s Human-Centered AI Lab), Dr. […]