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Understanding outcome bias
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“human operators demonstrate outcome biases in trust adjustments when the automation is wrong: an automation error is forgiven to some extent if the error does not lead to detrimental outcomes.”
From Toward Quantifying Trust Dynamics: How People Adjust Their Trust After Moment-to-Moment Interaction With Automation (2023) · cites this paper as Brownback & Kuhn, 2019
Citations
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McCabe, K. A., Rigdon, M. L., & Smith, V. L. (2003) · Journal of Economic Behavior & Organization · doi:10.1016/s0167-2681(03)00003-9 · Cited by 659
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Cited by
Sorted by citations
Yang, X. J., Schemanske, C., & Searle, C. (2023) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1177/00187208211034716 · Cited by 132
“Outcome bias has been observed in laboratory tasks evaluating medical decisions (Baron & Hershey, 1988), gambling (Baron & Hershey, 1988; Brownback & Kuhn, 2019; Sezer, Zhang, Gino, & Bazerman, 2016), and business decisions (Gino, Moore, & Bazerman, 2009), and in real-world evaluations of soccer…”
BackgroundResult
Metadata
- Authors
- Brownback, A., & Kuhn, M. A.
- Affiliations
- University of Arkansas at Fayetteville (US)
- University of Oregon (US)
- Corresponding author
- Kuhn, Michael A.
- Venue
- Games and Economic Behavior
- Publisher
- Elsevier BV
- Published
- 2019-09
- Volume
- 117
- Pages
- 342-360
- ISSN
- 0899-8256 (ISSN-L)
- OpenAlex
- W2963134042
- Cited by
- 40
- References
- 4
- Citations by year
- 2026: 7 · 2025: 10 · 2024: 4 · 2023: 5 · 2022: 4 · 2021: 7 · 2020: 1 · 2019: 2
- FWCI
- 5.74
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Games and Economic Behavior (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Experimental Behavioral Economics Studies
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Game Theory and Applications
- Keywords
- outcome bias, principal-agent problem, performance evaluation (human resources), information control, belief elicitation, effort incentives, disappointment, distributional preferences
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