Lab website

Overview

My research explores how people differ in psychological traits such as attention, impulsivity, working memory, and reward processing. Human behaviors in psychological tasks typically show general trends at a population level yet differ greatly at an individual level. Exploring individual differences provides additional information about psychological constructs that underlie human behaviors.

I build and evaluate Bayesian cognitive models to provide parameters that would capture relevant properties of complex data, facilitating the analysis of individual differences. I also use artificial intelligence models based on Gaussian processes and deep neural networks to identify individual differences in data-driven manners, and to address theoretical questions in novel ways.

Publications

Lee, S. H., Song, M. S., Oh, M. H., & Ahn, W. Y. (2024) Bridging the gap between self-report and behavioral laboratory measures: A real-time driving task with inverse reinforcement learning. Psychological Science, 35(4), 345-357 (link to the paper)

Lee, S. H., & Pitt, M. A. (2024). Implementation of an online spacing flanker task and evaluation of its test-retest reliability using measures of inhibitory control and the distribution of spatial attention. Behavior Research Methods, 1-12

Kwon, M, Lee, S. H., Ahn, W. Y. (2023). Adaptive design optimization as a promising tool for reliable and efficient computational fingerprinting. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 8(8), 798-804.

Lee, S. H., Kim, D., Opfer, J., Pitt, M. A., & Myung, J. I. (2022). A number-line task with a Bayesian active learning algorithm provides insights into the development of non-symbolic number estimation. Psychonomic Bulletin & Review, 29(3), 1-14.

Lee, S. H., & Pitt, M. A. (2022). Individual differences in selective attention reveal the non-monotonicity of visual spatial attention and its association with working memory capacity. Journal of Experimental Psychology: General, 151(4), 749-762.

Lee, S. H., Pitt, M. A., & Myung, J. I. (2018). Computational modeling of cognitive control in a flanker task. Proceedings of the 40th Annual Meeting of the Cognitive Science Society, pp. 671-676.

Kim, S., Lee, S. H., & Cho, Y.S. (2015). Control processes through the suppression of the automatic response activation triggered by task-irrelevant information in the Simon-type tasks. Acta Psychologica, 162, 51-61.

Lee, S. H., Kim, S. P., & Cho, Y. S. (2015). Self-concept in fairness and rule establishment during a competitive game: a computational approach. Frontiers in Psychology, 6, 1321.