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The curse of expertise: The effects of expertise and debiasing methods on prediction of novice performance.

Hinds, Pamela J.·1999·Journal of Experimental Psychology: Applied

DOI 10.1037/1076-898x.5.2.205

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Abstract

Experts are often called on to predict the performance of novices, but cognitive heuristics may interfere with experts' ability to capitalize on their superior knowledge hi predicting novice task performance. In Study 1, experts, intermediate users, and novices predicted the time it would take novices to complete a complex task. In Study 2, expertise was experimentally manipulated. In both studies, those with more expertise were worse predictors of novice performance times and were resistant to debiasing techniques intended to reduce underestimation. Findings from these studies suggest that experts may have a cognitive handicap that leads to underestimating the difficulty novices face and that those with an intermediate level of expertise may be more accurate in predicting novices' performance. Organizations often rely on experts to predict the performance of novices. Project managers predict team members' times to complete new work assignments. Marketers and designers predict consumers' abilities to master the use of new products. Teachers predict students' efforts to complete homework and finish exams. The predictions of experts influence the allocation of time and resources to projects, decisions about product design, and the pacing of students' lessons. Predictive errors can have significant negative consequences: employee alienation, failure to meet project deadlines, consumer dissatisfaction, and student frustration or boredom. This study draws on the literature in cognitive heuristics to explore whether experts, as compared with those with less expertise and novices themselves, are more or less accurate in predicting the perfor

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Availability: A heuristic for judging frequency and probability
Tversky, A., & Kahneman, D. (1973) · Cognitive Psychology · doi:10.1016/0010-0285(73)90033-9 · Cited by 9,984 · cited 1×
“The availability heuristic is a cognitive shortcut in which people make predictions on the basis of the information that they have readily available in memory ( Tversky & Kahneman, 1973 ).”
Background
Unrealistic optimism about future life events
Weinstein, N. D. (1980) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.39.5.806 · Cited by 4,999
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Anderson, J. R. (1982) · Psychological Review · doi:10.1037/0033-295x.89.4.369 · Cited by 3,663
Visual Information Processing
Solso, R. L., & Chase, W. G. (1974) · The American Journal of Psychology · doi:10.2307/1421395 · Cited by 2,134
Expert and Novice Performance in Solving Physics Problems
Larkin, J., McDermott, J. P., Simon, D. P., & Simon, H. A. (1980) · Science · doi:10.1126/science.208.4450.1335 · Cited by 2,112
Expert performance: its structure and acquisition.
Ericsson, K. A., & Charness, N. (1994) · American Psychologist · doi:10.1037/0003-066x.49.8.725 · Cited by 2,072
THE MIND'S EYE IN CHESS
Chase, W. G., & Simon, H. A. (1973) · Visual Information Processing · doi:10.1016/b978-0-12-170150-5.50011-1 · Cited by 1,419
Intuitive prediction: Biases and corrective procedures
Kahneman, D. J., & Tversky, A. (1982) · Cambridge University Press eBooks · doi:10.1017/cbo9780511809477.031 · Cited by 1,162
Exploring the "planning fallacy": Why people underestimate their task completion times.
Buehler, R., Griffin, D. W., & Ross, M. (1994) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.67.3.366 · Cited by 1,105

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References
Gilovich, T. D., Griffin, D., & Kahneman, D. (2002) · Cambridge University Press eBooks · doi:10.1017/cbo9780511808098.045 · Cited by 1
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Acharya, C. (2016) · University of North Texas Digital Library (University of North Texas) · doi:10.12794/metadc862852 · Cited by 2
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Alin, P. (2010) · Aaltodoc (Aalto University) · Cited by 1
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Medvec, V. H., Madey, S. F., & Gilovich, T. D. (2002) · Cambridge University Press eBooks · doi:10.1017/cbo9780511808098.037 · Cited by 1
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Skuse, G. (2026) · Warwick Research Archive Portal (University of Warwick) · doi:10.82444/warw.33765046 · Cited by 1
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Loll, F., & Niels Pinkwart, C. (2009) · WIRTSCHAFTSINFORMATIK
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Powell, J. (2011) · RMIT Research Repository (RMIT University Library) · doi:10.25439/rmt.27576933
Information Projection: Model and Applications (old version, containing additional material)
Madarász, K. (2009)
Diagnosis and Repair?
Jucks, R., Brummernhenrich, B., Becker, B.-M., & Bromme, R. (2014) · Swiss Journal of Psychology · doi:10.1024/1421-0185/a000135
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Rentinck, L., & Steehouder, M. F. (2007) · IEEE International Professional Communication Conference (ProComm) · doi:10.1109/ipcc.2007.4464063
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Simpson, R. C. (2008)
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Christandl, F. (2008) · Kölner Universitäts PublikationsServer (Universität zu Köln)
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Coolin, A. (2011) · Summit (Simon Fraser University)
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Herppich, S. (2014) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-4413
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Feng, Y., & Huang, X. (2015)
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The Illusion of Competence
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Authors: Hinds, P. J.
Affiliations: Stanford University (US)
Corresponding author: Hinds, Pamela J.
ORCID: Hinds, Pamela J.
Venue: Journal of Experimental Psychology: Applied
Publisher: American Psychological Association (APA)
Published: 1999-06
Volume: 5
Issue: 2
Pages: 205-221
ISSN: 1076-898X (ISSN-L)
1939-2192
DOI: 10.1037/1076-898x.5.2.205
OpenAlex: W2011381597
Cited by: 397
References: 38
Citations by year: 2026: 15 · 2025: 11 · 2024: 12 · 2023: 9 · 2022: 14 · 2021: 26 · 2020: 38 · 2019: 12 · 2018: 19 · 2017: 18 · 2016: 13 · 2015: 13 · 2014: 12 · 2013: 14 · 2012: 12
FWCI: 10.61
Type: journal article
Language: en
Open access: closed
Locations: Journal of Experimental Psychology Applied (publishedVersion)
Topics: Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
Health Sciences › Medicine › Family Practice › Clinical Reasoning and Diagnostic Skills
Social Sciences › Decision Sciences › Management Science and Operations Research › Forecasting Techniques and Applications
Keywords: expertise, cognitive heuristics, bias mitigation, underestimation bias, expert opinion, task performance prediction

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The curse of expertise: The effects of expertise and debiasing methods on prediction of novice performance.

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