The DOI matches its Crossref record.
Situation Awareness Analysis and Measurement
Abstract
A comprehensive overview of different approaches to the measurement of situation awareness in experimental and applied setting, this book directly tackles the problem of ensuring that system designs and training programs are effective at promoting situation awareness. It is the first book to provide a all-inclusive coverage of situation awareness and its measurement. Topics addressed provide a detailed analysis of the use of a wide variety of techniques for measuring situation awareness and situation assessment processes. It provides a rich resource for engineers and human factors psychologists involved in designing and evaluating systems in many domains.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
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 Performance Consequences of Stages and Levels of Automation: An Integrated Meta-Analysis
Onnasch, L., Wickens, C. D., Li, H., & Manzey, D. (2014) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720813501549 · Cited by 524
Situation Awareness Misconceptions and Misunderstandings
Endsley, M. R. (2015) · Journal of Cognitive Engineering and Decision Making · doi:10.1177/1555343415572631 · Cited by 501
Exploring students' perspectives on generative AI-assisted academic writing
Kim, J., Yu, S., Detrick, R., & Li, N. (2025) · Education and Information Technologies · doi:10.1007/s10639-024-12878-7 · Cited by 438
Stanton, N. A., Stewart, R., Harris, D., Houghton, R. J., Baber, C., McMaster, R., Salmon, P., Hoyle, G., Walker, G., Young, M. S., et al. (2006) · Ergonomics · doi:10.1080/00140130600612762 · Cited by 418
Cyber situational awareness – A systematic review of the literature
Franke, U., & Brynielsson, J. (2014) · Computers & Security · doi:10.1016/j.cose.2014.06.008 · Cited by 327
Kunze, A., Summerskill, S. J., Marshall, R., & Filtness, A. J. (2019) · Ergonomics · doi:10.1080/00140139.2018.1547842 · Cited by 165
Understanding diagnostic errors in medicine: a lesson from aviation
Singh, H. (2006) · Quality and Safety in Health Care · doi:10.1136/qshc.2005.016444 · Cited by 156
Saus, E.-R., Johnsen, B. H., Eid, J., Riisem, P. K., Andersen, R., & Thayer, J. F. (2006) · Military Psychology · doi:10.1207/s15327876mp1803s_2 · Cited by 141
I can do better than your AI: expertise and explanations
Schaffer, J., O'Donovan, J., Michaelis, J., Raglin, A., & Höllerer, T. (2019) · Proceedings of the 24th International Conference on Intelligent User Interfaces · doi:10.1145/3301275.3302308 · Cited by 119
Effect of cognitive load on speech prosody in aviation: evidence from military simulator flights.
Huttunen, K., Keränen, H., Väyrynen, E., Pääkkönen, R., & Leino, T. (2011) · Applied Ergonomics · doi:10.1016/j.apergo.2010.08.005 · Cited by 106
Saus, E.-R., Johnsen, B. H., Eid, J., & Thayer, J. F. (2012) · Computers in Human Behavior · doi:10.1016/j.chb.2012.02.009 · Cited by 84
Analysis and design of human-robot swarm interaction in firefighting
Naghsh, A. M., Gancet, J., Tanoto, A., & Roast, C. (2008) · RO-MAN 2008 - The 17th IEEE International Symposium on Robot and Human Interactive Communication · doi:10.1109/roman.2008.4600675 · Cited by 81
Supporting Complex Decision Making Through Option Awareness
Pfaff, M. S., Klein, G. L., Drury, J. L., Moon, S. P., Liu, Y., & Entezari, S. O. (2013) · Journal of Cognitive Engineering and Decision Making · doi:10.1177/1555343412455799 · Cited by 62
Modeling Quality of IoT Experience in Autonomous Vehicles
Minovski, D., Ahlund, C., & Mitra, K. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.2975418 · Cited by 59
Brentnall, J., Thackray, D., & Judd, B. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19020936 · Cited by 51
Rossetti, S. C., Knaplund, C., Albers, D., Dykes, P. C., Kang, M. J., Korach, T. Z., Zhou, L., Schnock, K., Garcia, J., Schwartz, J., et al. (2021) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocab006 · Cited by 42
Lai, H.-Y., Chen, C.-H., Khoo, L.-P., & Zheng, P. (2019) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2019.01.009 · Cited by 32
The Evolving Definition of Cognitive Readiness for Military Operations
Fletcher, J. D., & Wind, A. P. (2014) · Teaching and Measuring Cognitive Readiness · doi:10.1007/978-1-4614-7579-8_2 · Cited by 26
Defining Quality of Experience for the Internet of Things
Minovski, D., Ahlund, C., Mitra, K., & Zhohov, R. (2020) · IT Professional · doi:10.1109/mitp.2020.2968259 · Cited by 17
Mitigating Design Fixation: A Visualization Tool for Enhancing Situation Awareness
Hwang, D., Choi, B., Bae, S., & Park, W. (2021) · Journal of Mechanical Design · doi:10.1115/1.4048814 · Cited by 14
Nickel, C., Knight, C., Langille, A., & Godwin, A. (2019) · Safety · doi:10.3390/safety5020018 · Cited by 11
Emotionally based strategic communications as a new tool in defensive cognitive warfare
Ćosić, K., Popović, S., & Wiederhold, B. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1751406 · Cited by 4
Alomar, I., & Shafqat, A. (2026) · Aviation · doi:10.3846/aviation.2026.26073 · Cited by 1
Metadata
- Venue
- CRC Press eBooks
- Publisher
- CRC Press
- Published
- 2000-07-01
- OpenAlex
- W1576234442
- Cited by
- 2,046
- References
- 0
- FWCI
- 29.53
- Type
- book
- Language
- en
- Open access
- closed
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
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.
