I am a computer scientist working at the intersection of artificial intelligence and cognitive science. I am interested in using a combination of computational methods and psychological theories to inform the design of human-aware algorithms and interfaces.
I received my PhD (2015-2020) from the Department of Computer Science at Tulane University, where I was supervised by K. Brent Venable.
- Dissertation: Computational Models of Heuristics and Bias in Human Behavior
Front Matter · Chapter 1: Introduction · Chapter 2: Preliminaries · Chapter 3: Bias in a Spatial Auditory Attention Task · Chapter 4: Confirmation Bias in a Probabilistic Learning Task · Chapter 5: Heuristics and Biases in Approval Voting · Chapter 6: Conclusion · Bibliography
- Heuristic Strategies in Uncertain Approval Voting Environments
Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei, K. Brent Venable
- On Interactive Machine Learning and the Potential of Cognitive Feedback
Chris J. Michael, Dina Acklin, Jaelle Scheuerman
2nd Workshop on Deep Models and Artificial Intelligence for Defense Applications, 2020. [Download]
- Modeling Spatial Auditory Attention in ACT-R: A Constraint-Based Approach
Jaelle Scheuerman, K. Brent Venable, Maxwell T. Anderson, Edward J. Golob
Postproceedings of the 9th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2018. [Download]