Insights into Human-Agent Teaming: Intelligent Agent Transparency and Uncertainty
Open accessIntegrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The findings that communicating uncertainty improved human-AI team performance may not generalize to other tasks and contexts.
“however, they note that their findings may not generalize to other tasks and contexts.”
From Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty (2021) · cites this paper as [117]
Communicating and visualizing uncertainty information to operators of unmanned vehicles helped improve human-AI team performance.
“Stowers et al. [117] find that communicating and visualizing uncertainty information to operators of unmanned vehicles helped improve human-AI team performance”
From Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty (2021) · cites this paper as [117]
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 · cited 4× · see citing works
“Finally, as stated above, it has been suggested that additional transparency can improve trust on behalf of the human counterpart [9, 10].”
BackgroundInfluentialHumans and automation: Use, misuse, disuse, abuse
Parasuraman, R., & Riley, V. (1997) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1518/001872097778543886 · Cited by 4,554 · see citing works
Miller, C. A., & Parasuraman, R. (2007) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1518/001872007779598037 · Cited by 434 · see citing works
Designing for Situation Awareness: An Approach to User-Centered Design, Second Edition
Endsley, M. R. (2016) · doi:10.1201/b11371 · Cited by 424 · see citing works
Intelligent agent transparency in human–agent teaming for multi-UxV management
Mercado, J. E., Rupp, M. A., Chen, J. Y. C., Barnes, M. J., Barber, D., & Procci, K. (2016) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720815621206 · Cited by 403 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty
Bhatt, U., Antorán, J., Zhang, Y., Liao, Q. V., Sattigeri, P., Fogliato, R., Melançon, G., Krishnan, R., Stanley, J., Tickoo, O., et al. (2021) · Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society · doi:10.1145/3461702.3462571 · Cited by 225 · see citing works
Smith-Renner, A., Fan, R., Birchfield, M., Wu, T., Boyd-Graber, J., Weld, D. S., & Findlater, L. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376624 · Cited by 112 · see citing works
Daronnat, S., Azzopardi, L., Halvey, M., & Dubiel, M. (2021) · Frontiers in Robotics and AI · doi:10.3389/frobt.2021.642201 · Cited by 45 · see citing works
Xu, Z., Song, T., & Lee, Y.-C. (2025) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2025.103455 · Cited by 18 · see citing works
- Authors
- Stowers, K., Kasdaglis, N., Rupp, M., Chen, J., Barber, D., & Barnes, M.
- Affiliations
- DEVCOM Army Research Laboratory (US)
- Corresponding author
- Chen, Jessie
- Venue
- Advances in Intelligent Systems and Computing
- Publisher
- Springer International Publishing
- Published
- 2016-07-02
- Pages
- 149-160
- ISSN
- 2194-5357 (ISSN-L)
- 2194-5365
- OpenAlex
- W2485543143
- Cited by
- 28
- References
- 5
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 1 · 2023: 3 · 2022: 3 · 2021: 3 · 2020: 5 · 2019: 3 · 2018: 1 · 2017: 2 · 2016: 1
- FWCI
- 10.37
- Type
- book chapter
- Language
- en
- Open access
- Locations
- Advances in intelligent systems and computing (publishedVersion)
- Journal of International Crisis and Risk Communication Research (submittedVersion)
- Topics
- Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Keywords
- human-agent teaming, agent transparency, joint cognitive systems, supervisory control, decision-making, operator performance, reaction time (psychology), perceived workload, perceived usability, trust in agents, human-automation interaction
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
