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Revisiting the Cause of Algorithm Aversion: Algorithm Feedback Asymmetry in the Field and Lab
16 references·1 citing·49 second hop
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References

  • 1998Habit and intention in everyday life: The multiple processes by which past behavior predicts future behavior.3,666 cited
  • 2014Algorithm Aversion: People Erroneously Avoid Algorithms after Seeing Them Err3,203 cited
  • 2016oTree - An Open-Source Platform for Laboratory, Online, and Field Experiments1,979 cited
  • 1974Linear models in decision making.1,878 cited
  • 2016Overcoming Algorithm Aversion: People Will Use Imperfect Algorithms If They Can (Even Slightly) Modify Them1,225 cited
  • 2006Advice taking and decision-making: An integrative literature review, and implications for the organizational sciences1,007 cited
  • 2019A systematic review of algorithm aversion in augmented decision making809 cited
  • 2022To Engage or Not to Engage with AI for Critical Judgments: How Professionals Deal with Opacity When Using AI for Medical Diagnosis625 cited
  • 2021What influences algorithmic decision-making? A systematic literature review on algorithm aversion597 cited
  • 2017Human Decisions and Machine Predictions591 cited
  • 2020When eliminating bias isn’t fair: Algorithmic reductionism and procedural justice in human resource decisions579 cited
  • 2006Intuitions About Combining Opinions: Misappreciation of the Averaging Principle407 cited
  • 2017Algorithms in practice: Comparing web journalism and criminal justice400 cited
  • 2005

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Research Note—Two Competing Perspectives on Automatic Use: A Theoretical and Empirical Comparison
387 cited
  • 2020Artificial Intelligence Coaches for Sales Agents: Caveats and Solutions362 cited
  • 2007The naïve intuitive statistician: A naïve sampling model of intuitive confidence intervals.209 cited
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    • 2024Risk-averse algorithmic support in resource allocation problems0 cited