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Published papers

Dietvorst, B. J., Bartels, D. M. (2021). Consumers object to algorithms making morally relevant tradeoffs because of algorithms’ consequentialist decision strategiesJournal of Consumer Psychology, 32(3):406-424. MM CBR

Dietvorst, B. J., Bharti, S. (2020). People Reject Algorithms in Uncertain Decision Domains Because They Have Diminishing Sensitivity to Forecasting ErrorPsychological Science, 31(10):1302-1314. CBR APS MM

Mislavsky, R., Dietvorst, B. J., Simonsohn, U. (2019). The Minimum Mean Paradox: An Explanation for Apparent Experiment Aversion, Proceedings of the National Academy of Sciences, 116(48),23883-23884. DC

Mislavsky, R., Dietvorst, B. J., Simonsohn, U. (2019). Critical Condition: People Don’t Dislike A Corporate Experiment More than They Dislike Its Worst Condition, Marketing Science, 39(6):1092-1104.

Dietvorst, B. J., Simonsohn, U. (2019). Intentionally "Biased": People Purposefully Use To-Be-Ignored Information, But Can Be Persuaded Not To, Journal of Experimental Psychology: General, 148(7):1228-1238. DC CBR

     • Winner of 2020 Early Career Award from the Society for Experimental Psychology and Cognitive Science (Division 3 of the American Psychological Association)

Dai, H., Dietvorst, B. J., Tuckfield, B., Milkman, K. L., Schweitzer, M. E. (2018). Quitting When the Going Gets Tough: A Downside of High Performance Expectations, Academy of Management Journal, 61(5):1667-1691. CBR K@W UAR

     • Winner of 2019 SPSP Cialdini Prize

Dietvorst, B. J., Simmons, J. P., & Massey, C. (2016). Overcoming Algorithm Aversion: People Will Use Imperfect Algorithms If They Can (Even Slightly) Modify Them, Management Science, 64(3):1155-1170. BG HBR MIT NYT SCI QSB 538

     • Finalist for 2020 Decision Analysis Society Publication Award from INFORMS

Dietvorst, B. J., Simmons, J. P., & Massey, C. (2015). Algorithm Aversion: People Erroneously Avoid Algorithms After Seeing Them Err, Journal of Experimental Psychology: General, 144(1):114-126. NPR HBR BG HBR FT K@W NYT WEF CBR QSB 538

     • Data, Code, Study Materials, & Supplementary Materials (also hosted by the Journal of Experimental Psychology: GeneralSupplemental Material)

Papers in review process

Urminsky, O., Dietvorst, B. J., “Taking the Full Measure: Integrating Replication Into Research Practice to Assess Generalizability” (invited revision at Journal of Consumer Research)

Desiraju, S., Dietvorst, B. J., “Reason Defaults: Presenting Defaults with Reasons for Choosing each Option Helps Decision Makers with Minority Preferences” (invited revision at Psychological Science)

Hu, B., Gaertig, C., Dietvorst, B. J., “How Should Time Estimates Be Structured to Increase Customer Satisfaction?” (under review)

Dietvorst, B. J., Fei, L., “People Take More Risk When Their Prospects are Tied to Future States of the World” (preparing for resubmission)

Fei, L., Dietvorst, B. J., “Prediction by Replication: People Prefer Prediction Algorithms That Replicate the Event Being Predicted” (preparing for resubmission)

Dietvorst, B. J., “Aligning Algorithms with People’s Prediction Preferences” (preparing for initial submission)