Designing for Situation Awareness
Abstract
Enhancing Situation Awareness (SA) is a major design goal for projects in many fields, including aviation, ground transportation, air traffic control, nuclear power, and medicine, but little information exists in an integral format to support this goal. Designing for Situation Awareness helps designers understand how people acquire and inte
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
Responses to textual alerts in EHRs are similar to previously documented responses to audible and visual alarms.
“Our findings suggest that responses to textual alerts in EHRs are similar to previously documented responses to audible and visual alarms. [16–18]”
From Effects of workload, work complexity, and repeated alerts on alert fatigue in a clinical decision support system (2017) · cites this paper as [18]
The human factors literature in other settings shows that high false alarm rates reduce responsiveness as the individual learns that the alarm is unreliable.
“The human factors literature in other settings shows that high false alarm rates reduce responsiveness as the individual learns, consciously or unconsciously, that the alarm is unreliable [16–18].”
From Effects of workload, work complexity, and repeated alerts on alert fatigue in a clinical decision support system (2017) · cites this paper as [18]
Cited by
Sorted by citations
with the HITEC Investigators, Ancker, J. S., Edwards, A., Nosal, S., Hauser, D., Mauer, E., & Kaushal, R. (2017) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-017-0430-8 · Cited by 709 · see citing works
Humans: Still Vital After All These Years of Automation
Parasuraman, R., & Wickens, C. D. (2008) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1518/001872008x312198 · Cited by 401 · see citing works
Internet of Ships: A Survey on Architectures, Emerging Applications, and Challenges
Aslam, S., Michaelides, M. P., & Herodotou, H. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.2993411 · Cited by 261 · see citing works
Kunze, A., Summerskill, S. J., Marshall, R., & Filtness, A. J. (2019) · Ergonomics · doi:10.1080/00140139.2018.1547842 · Cited by 165 · see citing works
Schrank, A., Walocha, F., Brandenburg, S., & Oehl, M. (2024) · Cognition, Technology & Work · doi:10.1007/s10111-024-00753-x · Cited by 33 · see citing works
Calibrating Reliance on Automated Advice: Transparency and Trust Calibration Feedback
Tatasciore, M., & Loft, S. (2025) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2025.2487861 · Cited by 20 · see citing works
Capturing the Context of Use to Inform System Design
Evenson, S., Muller, M., & Roth, E. M. (2008) · Journal of Cognitive Engineering and Decision Making · doi:10.1518/155534308x377072 · Cited by 14 · see citing works
- Authors
- Endsley, M. R., Bolte, B., & Jones, D. G.
- Venue
- CRC Press eBooks
- Publisher
- CRC Press
- Published
- 2003-07-17
- OpenAlex
- W2738487222
- Cited by
- 675
- References
- 0
- Citations by year
- 2026: 28 · 2025: 33 · 2024: 34 · 2023: 22 · 2022: 28 · 2021: 24 · 2020: 24 · 2019: 23 · 2018: 34 · 2017: 19 · 2016: 25 · 2015: 29 · 2014: 41 · 2013: 41 · 2012: 29
- FWCI
- 15.65
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- CRC Press eBooks (publishedVersion)
- Topics
- Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Data Visualization and Analytics
- Keywords
- situational awareness, human factors, human-computer interaction, aviation, air traffic control, nuclear energy, medical systems, transport systems
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.
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