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Automated calibration training for forecasters

Bibliographic Data

ID12166116
AuthorsEric R Stone (0000-0002-1126-1391, Department of Psychology Wake Forest University Winston‐Salem North Carolina USA, corresponding author), Jason Luu (Department of Psychology Wake Forest University Winston‐Salem North Carolina USA), Cory K Costello (0000-0003-3818-2738, Department of Psychology Wake Forest University Winston‐Salem North Carolina USA), Annie H Somerville (Department of Psychology Wake Forest University Winston‐Salem North Carolina USA)
Year2023
Volume36
Issue4
Publication date2023-06-28
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Behavioral Decision Making (JOURNAL)
Journal identifiersISSN: 0894-3257 • E-ISSN: 1099-0771
PublisherWiley (PUBLISHER • GB)
DOI10.1002/bdm.2334
OpenAlexW4382357961
LanguageEN
Citations received2
References cited39

In two studies, we investigated the effectiveness of an automated form of calibration training via individualized feedback as a means to improve calibration in forecasts. In Experiment 1, this training procedure was tested in a realistic forecasting situation, namely, predicting the outcome of baseball games. Experiment 2 was similar but used a more controlled forecasting task, predicting whether competitors would bust in a modified version of blackjack. In comparison to a control group without training, participants provided with calibration training had reduced confidence levels, which translated into reduced overconfidence and better overall calibration in Experiment 2. The results across both studies suggest that an automated form of individualized performance feedback can reduce the confidence of initially overconfident forecasters

Calibration · Competitor analysis · Confidence interval · Econometrics · Economics · Machine learning · Overconfidence effect · Statistics · Task (project management · Training (meteorology · Computer Science · Decision-Making and Behavioral Economics · Forecasting Techniques and Applications · Mathematics · Psychology · Social Psychology · Sports Analytics and Performance · Artificial Intelligence

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Unique citing works2
Citations per year2
Citation span2025 - 2025 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 2

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