The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Supporting Human-AI Teams:Transparency, explainability, and situation awareness
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Citations
Cites
Trust in Automation: Designing for Appropriate Reliance
Lee, J. D., & See, K. A. (2004) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1518/hfes.46.1.50_30392 · Cited by 6,605
Explanation in artificial intelligence: Insights from the social sciences
Miller, T. (2019) · Artificial Intelligence · doi:10.1016/j.artint.2018.07.007 · Cited by 5,302
Human trust in artificial intelligence: Review of empirical research
Glikson, E., & Woolley, A. W. (2020) · Academy of Management Annals · doi:10.5465/annals.2018.0057 · Cited by 2,921
Trust in Automation: Integrating Empirical Evidence on Factors That Influence Trust
Hoff, K. A., & Bashir, M. (2015) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720814547570 · Cited by 2,817
Bainbridge, L. (1983) · Automatica · doi:10.1016/0005-1098(83)90046-8 · Cited by 2,205
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey
Akhtar, N., & Mian, A. (2018) · IEEE Access · doi:10.1109/access.2018.2807385 · Cited by 2,021
From Here to Autonomy: Lessons Learned From Human–Automation Research
Endsley, M. R. (2017) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720816681350 · Cited by 898
Self-citationHuman–Autonomy Teaming: A Review and Analysis of the Empirical Literature
O’Neill, T., McNeese, N., Barron, A., & Schelble, B. (2022) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720820960865 · Cited by 695
Flight-deck automation: promises and problems
WIENER, E. L., & CURRY, R. E. (1980) · Ergonomics · doi:10.1080/00140138008924809 · Cited by 599
Ten challenges for making automation a ‘team player’ in joint human-agent activity
Klein, G., Woods, D. D., Bradshaw, J. M., Hoffman, R. R., & Feltovich, P. J. (2004) · IEEE Intelligent Systems · doi:10.1109/mis.2004.74 · Cited by 590
Cited by
Atakishiyev, S., Salameh, M., Yao, H., & Goebel, R. (2021) · arXiv · doi:10.48550/arxiv.2112.11561 · Cited by 336
A multifaceted vision of the human-AI collaboration: a comprehensive review
Puerta-Beldarrain, M., Gómez-Carmona, O., Sánchez-Corcuera, R., Casado-Mansilla, D., López-de-Ipiña, D., & Chen, L. (2025) · IEEE Access · doi:10.1109/access.2025.3536095 · Cited by 73
Fox, S., & Rey, V. F. (2024) · Machine Learning and Knowledge Extraction · doi:10.3390/make6030071 · Cited by 22
“Accordingly, there are efforts to improve transparency [70].”
BackgroundStylos, N., Okumus, F., & Onder, I. (2025) · Tourism Management · doi:10.1016/j.tourman.2025.105205 · Cited by 18
Mahy, T., & Li, H. (2026) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2026.2623216 · Cited by 2
Metadata
- Authors
- Endsley, M. R.
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2023-03
- Volume
- 140
- Pages
- 107574
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W4310108479
- Cited by
- 309
- References
- 20
- FWCI
- 45.88
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- CoChat. (2026). Citation check: Supporting Human-AI Teams:Transparency, explainability, and situation awareness. https://app.cochat.ai/papers/10.1016/j.chb.2022.107574
- The paper
- Endsley, M. R. (2023). Supporting Human-AI Teams:Transparency, explainability, and situation awareness. Computers in Human Behavior. https://doi.org/10.1016/j.chb.2022.107574
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
