Dynamic models of augmented cognition

International Journal of Human-Computer Interaction

Volumn 17, Issue 2, 2004, Pages 259-273

  Young, Peter M ^a,b   Clegg, Benjamin A ^a   Smith, Charles A P ^a  

^a Department of Environmental and Radiological Health Sciences   (United States)

^b Department of Mechanical Engineering   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLOSED LOOP CONTROL SYSTEMS; CONTROL SYSTEMS; CONTROL THEORY; FEEDBACK; HUMAN COMPUTER INTERACTION; MATHEMATICAL MODELS; NEURAL NETWORKS; NEUROLOGY; OPTIMIZATION; PHYSIOLOGY; REAL TIME SYSTEMS; ROBUSTNESS (CONTROL SYSTEMS);

AUGMENTED COGNITION; DYNAMIC MODELS; FEEDBACK LOOP; NEUROSCIENCE;

COGNITIVE SYSTEMS;

EID: 4043099683     PISSN: 10447318     EISSN: None     Source Type: Journal    
DOI: 10.1207/s15327590ijhc1702_8     Document Type: Article

References (15)

1. Baron, S., Kruser, D. S., & Messick, B. (1990). Quantitative modeling of human performance in complex, dynamic systems. Washington, DC: National Academy Press.
2. Farwell, L. A., & Donchin, E. (1988). Talking off the top of your head: Toward a mental prosthesis utilizing event-related brain potentials. Electroencephalography and Clinical Neurophysiology, 70, 510-523.
3. Flach, J. M. (1999). Beyond error: The language of coordination and stability. In P. A. Hancock (Ed.), Human performance and ergonomics (pp. 109-128). San Diego, CA: Academic.
4. Jagacinski, R. J., & Flach, J. M. (2003). Control theory for humans; quantitative approaches to modeling performance. Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
5. Newell, A. (1990). Unified theories of cognition, Cambridge, MA: Harvard University Press.
6. Ogata, K. (2002). Modern control engineering (4th ed.). Upper Saddle River, NJ: Prentice Hall.
7. Packard, A. K., & Doyle J. C. (1993). The complex structured singular value. Automation, 29, 71-109.
8. Phillips, C. L., & Parr, J. M. (1999). Signals, systems, and transforms (2nd ed.). Upper Saddle River, NJ: Prentice Hall.
9. Posner, M. I., & DiGirolamo, G. J. (2000). Cognitive neuroscience: Origins and promise. Psychological Bulletin, 126, 873-889.
10. Powers, W. T. (1989). Living control systems: Selected papers. New Canaan, CT: Benchmark.
11. Stein, W., & Wewerinke, P. (1983). Human display monitoring and failure detection: Control theoretic models and experiments. Automatica, 19, 711-718.
12. Wickens, C. D., Mavon, A. S., Parasuraman, R., & McGee, A. P. (1998). The future of air traffic control: Human operators and automation. Washington, DC: National Academy Press.
13. Wiener, N. (1948). Cybernetics, or control and communication in the animal and the machine. Cambridge, MA: MIT Press.
14. Young, P. M. (2001). Structured singular value approach for systems with parametric uncertainty. International Journal of Robust and Nonlinear Control, 11, 653-680.
15. Zhou, K., Doyle, J. C., & Glover, K. (1996). Robust and optimal control. Englewood Cliffs, NJ: Prentice Hall.