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Who needs explanation and when? Juggling explainable AI and user epistemic uncertainty
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“Through conversational interfaces, users had to provide some constraints given in the decision making problem for the AI to propose a candidate solution (Khadpe et al., 2020;Jiang et al., 2022;Gupta et al., 2022).”
From Human-AI collaboration is not very collaborative yet: a taxonomy of interaction patterns in AI-assisted decision making from a systematic review (2025) · cites this paper as Jiang et al., 2022
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“While this pattern has been commonly observed in humans interacting with conversational agents (Jiang et al., 2022;Gupta et al., 2022), it is not only limited to traditional conversational interfaces (Gomez et al., 2023).”
From Human-AI collaboration is not very collaborative yet: a taxonomy of interaction patterns in AI-assisted decision making from a systematic review (2025) · cites this paper as Jiang et al., 2022
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Cites
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Cited by
What is Human-Centered about Human-Centered AI? A Map of the Research Landscape
Capel, T., & Brereton, M. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3580959 · Cited by 228
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Explainability and causability in digital pathology
Plass, M., Kargl, M., Kiehl, T., Regitnig, P., Geißler, C., Evans, T., Zerbe, N., Carvalho, R., Holzinger, A., & Müller, H. (2023) · The Journal of Pathology Clinical Research · doi:10.1002/cjp2.322 · Cited by 99
On the Quest for Effectiveness in Human Oversight: Interdisciplinary Perspectives
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Farrow, R. (2023) · Learning, Media and Technology · doi:10.1080/17439884.2023.2185630 · Cited by 81
Metadata
- Authors
- Jiang, J., Kahai, S., & Yang, M.
- Venue
- International Journal of Human-Computer Studies
- Publisher
- Elsevier BV
- Published
- 2022-09
- Volume
- 165
- Pages
- 102839
- ISSN
- 1071-5819
- Cited by
- 84
- References
- 37
- Language
- en
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Funders
- National Natural Science Foundation of China (71874215, 72172168)
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