November 2, 2023. Sarah Walsh successfully defends her Ph.D. Dissertation titled ‘Shared Mental Models in Human-Agent Team Decision Making’ Abstract:To effectively utilize AI-decision support tools, a human-AI team (HAT) must be able to maintain a shared understanding of the environment, team goals, and problem constraints. Otherwise, the human-AI team performance will not outperform individual performance. […]
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.
(June 2023) Sarah Walsh was an invited speaker at the ‘Symposium on Mental Model in Human-AI Interaction‘. The symposium featured seven presenters from academia and industry along with a panel to discuss how mental models can support the success of human-AI interactions.
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 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 […]
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 […]