About Me
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.
Recent Publications
- Designing Interactive Machine Learning Systems for GIS Applications
Jaelle Scheuerman, Chris J. Michael, Brad Landreneau, Dina M. Acklin & Jason L. Harman
AAAI 2021 Spring Symposium on "Leveraging Systems Engineering to Realize Synergistic AI / Machine Learning Capabilities"
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- Modeling Voters in Multi-Winner Approval Voting
Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei, K. Brent Venable
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021.
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- Heuristic Strategies in Uncertain Approval Voting Environments
Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei, K. Brent Venable
Preprint.
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- 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.
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- 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
- 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.
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