• Bhatia, S. (2024). Exploring variability in risk taking with large language models. Journal of Experimental Psychology: General, 153(7), 1838–1860. [pdf]
• Gandhi, N., Zou, W., Meyer, C., Bhatia, S., & Walasek, L. (2022). Computational methods for predicting and understanding food judgment. Psychological Science, 33(4), 579-594. [pdf]
• Aka, A., & Bhatia, S. (2022). Machine Learning Models for Predicting, Understanding, and Influencing Health Perception. Journal of the Association for Consumer Research, 7(2), 142-153. [pdf]
• Bhatia, S. (2019). Predicting risk perception: New insights from data science. Management Science, 65, 3800-3823. [pdf]
• Sirota, M., Juanchich, M., Petrova, D., Garcia-Retamero, R., Walasek, L., & Bhatia, S. (2018). Health professionals prefer to communicate risk-related numerical information using ‘1-in-X’ ratios. Medical Decision Making, 38(3), 366-376. [pdf]
• McCaig, D., Bhatia, S., Elliot, M., Walasek, L., & Meyer, C. (2018). Text-mining as a methodology to assess eating disorder-relevant factors: Comparing mentions of fitness tracking technology across online communities. International Journal of Eating Disorders, 51(7), 647-655. [pdf]

 

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