Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
Human Performance Modeling (HPM) is a computer-aided job analysis software methodology used to generate predictions of complex human automation integration and system flow patterns with the goal of improving operator and system safety. The use of HPM tools has recently been increasing due to reductions in computational cost, augmentations in the tools’ fidelity, and usefulness in the generated output. An examination of an Air Man-machine Integration Design and Analysis System (Air MIDAS) model evaluating complex human-automation integration currently underway at NASA Ames Research Center will highlight the importance to occupational safety of considering both cognitive and physical aspects of performance when researching human error.
Wydawca
Rocznik
Tom
Strony
339--351
Opis fizyczny
Bibliogr. 12 poz., rys.
Twórcy
autor
- San José State University, San José, CA, USA
- NASA Ames Research Center, Moffett Field, CA, USA
Bibliografia
- 1.Atencio, A. (1998). Short haul civil tiltrotor MIDAS. Retrieved March 20, 2002, from http://caffeine.arc.nasa.gov/midas/original-midas/Tiltrotor–MIDAS.html
- 2.Corker, K. (1994). Man-machine integration design and analysis system (MIDAS) applied to a computer-based procedure-aiding system. In Proceeding of the 38th Annual Meeting of the Human Factors and Ergonomics Society (pp. 195-198). Santa Monica, CA, USA: Human Factors and Ergonomics Society.
- 3.Corker, K.M., Gore, B.F., Fleming, K., & Lane, J. (2000). Free flight and the context of control: Experiments and modeling to determine the impact of distributed air-ground air traffic management on safety and procedures. In Proceedings of the 3rd USA-Europe Air Traffic Management R&D Seminar (pp. 1-8). Naples, Italy: USA-Europe Air Traffic Management.
- 4.Gore, B.F. (2002). An emergent behavior model of complex humansystem performance: An aviation surface-related application. VDI Berichte, 1(1), 313-328.
- 5.Gore, B.F., & Corker, K.M. (2000a). Value of human performance cognitive predictors: A free flight integration application. In Ergonomics for the New Millenium: Proceedings of the 14th Triennial International Ergonomics Association (IEA) and the Human Factors and Ergonomics Society 44th Annual Meeting (Vol. 6, pp. 493-496). Santa Monica, CA, USA: Human Factors and Ergonomics Society.
- 6.Gore, B.F., & Corker, K.M. (2000b). System interaction in free flight: A modeling tool cross-comparison. SAE Transactions - Journal of Aerospace, 108(1), 409-424.
- 7.Hollnagel, E. (1993). Human reliability analysis: Context and control. New York, NY, USA: Academic Press.
- 8.Hollnagel, E. (2000). Modeling the orderliness of human action. In N.B. Sarter & R. Amalberti (Eds.), Cognitive engineering in the aviation domain (pp. 65-98). Mahvah, NJ, USA: Erlbaum.
- 9.Laughery, K.R., Jr., & Corker, K. (1997). Computer modeling and simulation of human/ system performance. In G. Salvendy (Ed.), Handbook of human factors and ergonomics (pp. 1375-1408). New York, NY, USA: Wiley.
- 10.Lee, J.D. (1998). The utility of different types of models: Crew size evaluation in the maritime industry. In Proceedings of the Human Factors and Ergonomics Society 42nd Annual Meeting (Vol. 2, pp. 1227-1231). Santa Monica, CA, USA: Human Factors and Ergonomics Society.
- 11.McCracken, J.H., & Aldrich, T.B. (1984). Analysis of selected LHX mission functions: Implications for operator workload and system automation goals (Technical note ASI 479-024-84 (b)). Fort Rucker, AL, USA: Anacapa Sciences.
- 12.Medsker, G.J., & Campion, M.A. (1997). Job and team design. In G. Salvendy (Ed.), Handbook of human factors and ergonomics (pp. 450-489). New York, NY, USA: Wiley. Reason, J. (1990). Human error. Cambridge, UK: Cambridge University Press.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-ff2c21bd-955e-4b96-93e3-07129cdbf230
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