Explainable Recommendations and Calibrated Trust: Two Systematic User Errors
Explainable Recommendations and Calibrated Trust: Two Systematic User Errors
The increased adoption of collaborative human-artificial intelligence decision-making tools triggered a need to explain recommendations for safe and effective collaboration. We explore how users interact with explanations and why trust-calibration errors occur, taking clinical decision-support systems as a case study.
Naiseh, Mohammad
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Cemiloglu, Deniz
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Al-Thani, Dena
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Jiang, Nan
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Ali, Raian
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Naiseh, Mohammad
ab9d6b3c-569c-4d7c-9bfd-61bbb8983049
Cemiloglu, Deniz
fad2010f-7eed-40a3-a698-df4b1ab936b7
Al-Thani, Dena
3a5ae77f-c42c-49ca-900a-c36dc9d74944
Jiang, Nan
ef83d2d6-09b2-4d7a-845a-8ffbe8a67dd3
Ali, Raian
a8042ed0-9c68-49b2-885f-bc9932eb65b0
Naiseh, Mohammad, Cemiloglu, Deniz, Al-Thani, Dena, Jiang, Nan and Ali, Raian
(2021)
Explainable Recommendations and Calibrated Trust: Two Systematic User Errors.
Computer.
(In Press)
Abstract
The increased adoption of collaborative human-artificial intelligence decision-making tools triggered a need to explain recommendations for safe and effective collaboration. We explore how users interact with explanations and why trust-calibration errors occur, taking clinical decision-support systems as a case study.
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Accepted/In Press date: May 2021
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Local EPrints ID: 452673
URI: http://eprints.soton.ac.uk/id/eprint/452673
ISSN: 0018-9162
PURE UUID: 202683dd-43bb-483c-aa99-e06c7376394d
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Date deposited: 11 Dec 2021 11:36
Last modified: 17 Mar 2024 04:07
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Contributors
Author:
Mohammad Naiseh
Author:
Deniz Cemiloglu
Author:
Dena Al-Thani
Author:
Nan Jiang
Author:
Raian Ali
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