Jennifer Trueblood

Jennifer Trueblood

Ruth N. Halls Professor, Psychological and Brain Sciences

**Not accepting graduate students for Fall, 2024**


  • Ph.D., Cognitive Science, Indiana University–Bloomington, 2012
  • M.A., Mathematics, Indiana University–Bloomington, 2009
  • B.S.O.F., Music and Mathematics, Indiana University–Bloomington, 2007

Areas of Study

  • Cognitive Science


Research Topics

  • Human judgment and decision making
  • Computational cognitive modeling
  • Machine learning approaches to human cognition
  • Bayesian methods for model-based inference


Research Summary

My research takes a joint experimental and computational modeling approach to study human judgment, decision making, and reasoning.  I study how people make decisions when faced with multiple, complex alternatives and options involving different risks and rewards. To address these questions, I develop probabilistic and dynamic models that can explain behavior and use hierarchical Bayesian methods for data analysis and model-based inference. I am also interested in combining machine learning techniques with cognitive models to study naturalistic human decision making. Recent research topics in my lab include understanding (1) how context affects multialternative, multiattribute choice, (2) how dynamically changing information impacts decision processes, and (3) how physicians make decisions from medical images.


Representative Publications

Trueblood, J. S., Eichbaum, Q., Seegmiller, A. C., Stratton, C., O'Daniels, P., & Holmes, W. R. (2021). Disentangling prevalence induced biases in medical image decision-making. Cognition, 212, 104713.

Trueblood, J. S., Heathcote, A., Evans, N. J., & Holmes, W. R. (2021). Urgency, leakage, and the relative nature of information processing in decision-making. Psychological Review, 128(1), 160-186.

Diederich, A., & Trueblood, J. S. (2018). A dynamic dual process model of risky decision making. Psychological review, 125(2), 270-292.

Trueblood, J. S., Yearsley, J. M., & Pothos, E. M. (2017). A quantum probability framework for human probabilistic inference. Journal of Experimental Psychology: General, 146(9), 1307-1341.

Holmes, W. R., Trueblood, J. S., & Heathcote, A. (2016). A new framework for modeling decisions about changing information: The Piecewise Linear Ballistic Accumulator model. Cognitive psychology, 85, 1-29.

Trueblood, J. S., Brown, S. D., & Heathcote, A. (2014). The multiattribute linear ballistic accumulator model of context effects in multialternative choice. Psychological review, 121(2), 179–205.