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 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.
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
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
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 […]
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. […]