Handbook of Human Factors and Ergonomics

·2012·Wiley eBooks

DOI 10.1002/9781118131350

Open this paper in CoChat — free account

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

Crossref · 10.1002/9781118131350

Cites

Statistics

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.

The Factor Structure of the System Usability Scale
Lewis, J. R., & Sauro, J. (2009) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-02806-9_12 · Cited by 1,278
Work organization and ergonomics
Carayon, P., & Smith, M. J. (2000) · Applied Ergonomics · doi:10.1016/s0003-6870(00)00040-5 · Cited by 448
Distributed situation awareness in dynamic systems: theoretical development and application of an ergonomics methodology
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
A human factors engineering paradigm for patient safety: designing to support the performance of the healthcare professional: Figure 1
Karsh, B.-T., Holden, R. J., Alper, S. J., & Or, C. K. L. (2006) · Quality in Health Care · doi:10.1136/qshc.2005.015974 · Cited by 372
Effectiveness of participatory ergonomic interventions on health outcomes: a systematic review
Rivilis, I., Van Eerd, D., Cullen, K., Cole, D. C., Irvin, E., Tyson, J., & Mahood, Q. (2008) · Applied Ergonomics · doi:10.1016/j.apergo.2007.08.006 · Cited by 326
Quantifying user research
Sauro, J., & Lewis, J. R. (2016) · Quantifying the User Experience · doi:10.1016/b978-0-12-802308-2.00002-3 · Cited by 312
Addressing Core Challenges for the Next Generation of Type 2 Translation Research and Systems: The Translation Science to Population Impact (TSci Impact) Framework
Society for Prevention Research Type 2 Translational Task Force Members and Contributing Authors, Spoth, R., Rohrbach, L. A., Greenberg, M., Leaf, P., Brown, C. H., Fagan, A., Catalano, R. F., Pentz, M. A., Sloboda, Z., et al. (2013) · Prevention Science · doi:10.1007/s11121-012-0362-6 · Cited by 283
Good Vibrations: Tactile Feedback in Support of Attention Allocation and Human-Automation Coordination in Event-Driven Domains
Sklar, A. E., & Sarter, N. B. (1999) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1518/001872099779656716 · Cited by 268
Toward a Psychological Science of Advanced Technology Design for Older Adults
Rogers, W. A., & Fisk, A. D. (2010) · The Journals of Gerontology Series B: Psychological Sciences and Social Sciences · doi:10.1093/geronb/gbq065 · Cited by 204
Adaptive Aiding of Human-Robot Teaming: Effects of Imperfect Automation on Performance, Trust, and Workload
de Visser, E., & Parasuraman, R. (2011) · Journal of Cognitive Engineering and Decision Making · doi:10.1177/1555343411410160 · Cited by 207
Validation of the Raw National Aeronautics and Space Administration Task Load Index (NASA-TLX) Questionnaire to Assess Perceived Workload in Patient Monitoring Tasks: Pooled Analysis Study Using Mixed Models
Said, S., Gozdzik, M., Roche, T. R., Braun, J., Rössler, J., Kaserer, A., Spahn, D. R., Nöthiger, C. B., & Tscholl, D. W. (2020) · Journal of Medical Internet Research · doi:10.2196/19472 · Cited by 173
Meaningful human control: actionable properties for AI system development
Cavalcante Siebert, L., Lupetti, M. L., Aizenberg, E., Beckers, N., Zgonnikov, A., Veluwenkamp, H., Abbink, D., Giaccardi, E., Houben, G.-J., Jonker, C. M., et al. (2023) · AI and Ethics · doi:10.1007/s43681-022-00167-3 · Cited by 138
A three-stage model summarizes product warning and environmental sign research
Laughery, K. R., & Wogalter, M. S. (2014) · Safety Science · doi:10.1016/j.ssci.2011.02.012 · Cited by 129
Work design in future industrial production: Transforming towards cyber-physical systems
Waschull, S., Bokhorst, J. A. C., Molleman, E., & Wortmann, J. C. (2020) · Computers & Industrial Engineering · doi:10.1016/j.cie.2019.01.053 · Cited by 124
Quantifying User Research
Sauro, J., & Lewis, J. R. (2012) · Quantifying the User Experience · doi:10.1016/b978-0-12-384968-7.00002-3 · Cited by 117
Research Trends in Artificial Intelligence Applications in Human Factors Health Care: Mapping Review
Asan, O., & Choudhury, A. (2021) · JMIR Human Factors · doi:10.2196/28236 · Cited by 114
EFFECTS OF KANGAROO MOTHER CARE ON MATERNAL MOOD AND INTERACTION PATTERNS BETWEEN PARENTS AND THEIR PRETERM, LOW BIRTH WEIGHT INFANTS: A SYSTEMATIC REVIEW
Athanasopoulou, E., & Fox, J. R. E. (2014) · Infant Mental Health Journal · doi:10.1002/imhj.21444 · Cited by 100
Diagnostic Failure: A Cognitive and Affective Approach: (448242006-001)
Croskerry, P. (2005) · PsycEXTRA Dataset · doi:10.1037/e448242006-001 · Cited by 97
The influence of dispositional mindfulness on safety behaviors: A dual process perspective
Zhang, J., & Wu, C. (2014) · Accident Analysis & Prevention · doi:10.1016/j.aap.2014.03.006 · Cited by 90
Current Challenges and Opportunities for Better Integration of Human Factors Research with Development of Clinical Information Systems
Saleem, J. J., Russ, A. L., Sanderson, P., Johnson, T. R., Zhang, J., & Sittig, D. F. (2009) · Yearbook of Medical Informatics · doi:10.1055/s-0038-1638638 · Cited by 72
Climatic and psychosocial risks of heat illness incidents on construction site
Jia, Y. A., Rowlinson, S., & Ciccarelli, M. (2016) · Applied Ergonomics · doi:10.1016/j.apergo.2015.08.008 · Cited by 70
The New Media and Older Adults: Usable and Useful?
Charness, N., & Holley, P. (2004) · American Behavioral Scientist · doi:10.1177/0002764204270279 · Cited by 50
Investigating the effect of increasing robot group sizes on the human psychophysiological state in the context of human–swarm interaction
Podevijn, G., O’Grady, R., Mathews, N., Gilles, A., Fantini-Hauwel, C., & Dorigo, M. (2016) · Swarm Intelligence · doi:10.1007/s11721-016-0124-3 · Cited by 49
Risks of Terrorism to Information Technology and to Critical Interdependent Infrastructures
Chittester, C. G., & Haimes, Y. Y. (2004) · Journal of Homeland Security and Emergency Management · doi:10.2202/1547-7355.1075 · Cited by 47
Synchronous and asynchronous presentations of auditory and visual signals: Implications for control console design
Chan, A. H. S., & Chan, K. W. L. (2006) · Applied Ergonomics · doi:10.1016/j.apergo.2005.06.006 · Cited by 44
Characterizing patient details-related challenges from health information technology-related incident reports from Swedish healthcare
Jabin, M. S. R., Pan, D., & Nilsson, E. (2024) · Frontiers in Digital Health · doi:10.3389/fdgth.2024.1260521 · Cited by 41
Enhancing social engagement of older adults through technology
Bixter, M. T., Blocker, K. A., & Rogers, W. A. (2018) · Aging, Technology and Health · doi:10.1016/b978-0-12-811272-4.00008-7 · Cited by 40
Autopilots in the Operating Room: Safe Use of Automated Medical Technology
Ruskin, K. J., Corvin, C., Rice, S. C., & Winter, S. R. (2020) · Anesthesiology · doi:10.1097/aln.0000000000003385 · Cited by 38
A review of incidents related to health information technology in Swedish healthcare to characterise system issues as a basis for improvement in clinical practice
Pan, D., Nilsson, E., & Rahman Jabin, M. S. (2024) · Health Informatics Journal · doi:10.1177/14604582241270742 · Cited by 32
The Silver Surfer: Making the Internet Usable for Seniors
Bitterman, N., & Shalev, I. (2004) · Ergonomics in Design: The Quarterly of Human Factors Applications · doi:10.1177/106480460401200107 · Cited by 30
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
Outlining Traceability: A Principle for Operationalizing Accountability in Computing Systems
Kroll, J. A. (2021) · Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency · doi:10.1145/3442188.3445937 · Cited by 2

Venue: Wiley eBooks
Publisher: Wiley
Published: 2012-03-07
DOI: 10.1002/9781118131350
OpenAlex: W2502334226
Cited by: 742
References: 0
FWCI: 28.68
Type: book
Language: en
Open access: closed
Licence: doi.wiley.com/10.1002/tdm_license_1.1 (tdm)

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