ATC-lab: An air traffic control simulator for the laboratory

Behavior Research Methods, Instruments, and Computers

Volumn 36, Issue 2, 2004, Pages 331-338

  Loft, Shayne ^a   Hill, Andrew ^a   Neal, Andrew ^a   Humphreys, Michael ^a   Yeo, Gillian ^a  

^a UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 4444297431     PISSN: 07433808     EISSN: None     Source Type: Journal    
DOI: 10.3758/BF03195579     Document Type: Article

References (17)

1. ACKERMAN, P. L. (1992). Predicting individual differences in complex skill acquisition: Dynamics of ability determinants. Journal of Applied Psychology, 77, 598-614.
2. BREHMER, B., & DORNER, D. (1993). Experiments with micro-simulated worlds: Escaping both the narrow straights of the laboratory and the deep blue see of the field study. Computers in Human Behavior, 9, 171-184.
3. DIFONZO, N., HANTULA, D. A., & BORDIA, P. (1998). Microworlds for experimental research: Having your (control and collection) cake, and realism too. Behavior Research Methods, Instruments, & Computers, 30, 278-286.
4. GRAY, W. D. (2002). Simulated task environments: The role of high-fidelity simulations, scaled worlds, synthetic environments, and microworlds in basic and applied cognitive research. Cognitive Science Quarterly, 2, 205-227.
5. HENDY, K. C., LIAO, J., & MILGRAM, P. (1997). Combining time and intensity effects in assessing operator information-processing load. Human Factors, 39, 30-47.
6. JONES, D. G., & ENDSLEY, M. R. (2000). Overcoming representational errors in complex environments. Human Factors, 42, 367-378.
7. LOFT, S., HUMPHREYS, M., & NEAL, A. (in press). The influence of memory for prior instances on performance in a conflict detection task. Journal of Experimental Psychology: Applied.
8. LOFT, S., NEAL, A., & HUMPHREYS, M. (2002). Learning and transfer in an applied visual spatial task. Paper presented at the HF2002 Human Factors Conference, Melbourne.
9. METZGER, U., & PARASURAMAN, R. (2001). The role of the air traffic controller in future air traffic management. Human Factors, 43, 519-528.
10. NEAL, A., KWANTES, P., & LOFT, S. (2002, November). Development of a model for prediction of conflict detection performance in a simulated air traffic control task. Paper presented at the meeting of the Defence Human Factors Special Interest Group (DHFSIG), Melbourne.
11. OMODEI, M. M., & WEARING, A. J. (1995). The Fire Chief microworld generating program: An illustration of computer-based microworlds as an experimental paradigm for studying complex decision-making behavior. Behavior Research Methods, Instruments, & Computers, 27, 303-316.
12. RATCLIFF, R., VAN ZANDT, T., & MCKOON, G. (1999). Connectionist and diffusion models of reaction time. Psychological Review, 106, 261-300.
13. REMINGTON, R.W., JOHNSTON, J. C., RUTHRUFF, E., GOLD, M., & ROMERA, M. (2000). Visual search in complex displays: Factors affecting conflict recognition by air traffic controllers. Human Factors, 42, 349-368.
14. STANISLOW, H., & TODOROV, N. (1999). Calculation of signal detection theory measures. Behavior Research Methods, Instruments, & Computers, 31, 137-149.
15. STONE, M., DISMUKES, K., & REMINGTON, R. (2001). Prospective memory in dynamic environments: Effects of load, delay, and phonological rehearsal. Memory, 9, 165-176.
16. WICKENS, C. D., MAVOR, A. S., & MCGEE, J.P. (1997). Flight to the future: Human factors in air traffic control. Washington, DC: National Academy Press.
17. YEO, G., & NEAL, A. (2004). Multilevel analysis of effort, practice and performance: Effects of ability, conscientiousness and goal orientation. Journal of Applied Psychology, 89, 231-247.