Adaptive automation to improve human performance in supervision of multiple uninhabited aerial vehicles: Individual markers of performance

Proceedings of the Human Factors and Ergonomics Society

Volumn , Issue , 2011, Pages 890-893

  Saqer, Haneen ^a   De Visser, Ewart ^a   Emfield, Adam ^a   Shaw, Tyler ^a   Parasuraman, Raja ^a  

^a GEORGE MASON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE AUTOMATION; BASE-LINE PERFORMANCE; COMMAND AND CONTROL; CONTEXT DEPENDENT; COST-EFFICIENT; FUTURE PERFORMANCE; HUMAN PERFORMANCE; INDIVIDUAL PERFORMANCE; OPERATIONAL ENVIRONMENTS; UNINHABITED AERIAL VEHICLE; WORK ENVIRONMENTS; WORKING MEMORIES;

ERGONOMICS; FORECASTING;

AUTOMATION;

EID: 81855226200     PISSN: 10711813     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1177/1071181311551185     Document Type: Conference Paper

References (15)

1. Byrne, E. A., & Parasuraman, R. (1996). Psychophysiology and adaptive automation. Biological Psychology, 42, 249-268. (Pubitemid 26068931)
2. Cummings, M.L. (2010).Technology Impedances to Augmented Cognition. Ergonomics in Design, 18, 25-27.
3. de Visser, E., Shaw, T., Mohamed-Ameen, A., & Parasuraman, R. (2010). Modeling Human-Automation Team Performance in Networked Systems: Individual Differences in Working Memory Count. Proceedings of the Human Factors and Ergonomics Society 54th Annual Meeting, San Francisco, CA, 1087-1091.
4. Endsley, M. R. (1995). Toward a theory of situation awareness in dynamic systems. Human Factors: The Journal of the Human Factors and Ergonomics Society, 37(1), 32-64.
5. Inagaki, T. (2003). Adaptive Automation: Sharing and Trading of Control. In E. Hollnagel (Ed.), Handbook of Cognitive Task Design: Lawrence Erlbaum Associates.
6. Parasuraman, R., Bahri, T., Deaton, J., Morrison, J., & Barnes, M. (1992). Theory and design of adaptive automation in aviation systems (Progress Rep. No. NAWCADWAR-92033-60). Warminster, PA: Naval Air Warfare Center.
7. Parasuraman, R., Cosenzo, K., & de Visser, E. (2009). Adaptive automation for human supervision of multiple uninhabited vehicles: Effects on change detection, situation awareness, and mental workload. Military Psychology, 21, 270-297.
8. Parasuraman, R., Mouloua, M., & Hilburn, B. (1999). Adaptive aiding and adaptive task allocation enhance human-machine interaction. In M. W. Scerbo & M. Mouloua (Eds.), Automation technology and human performance: Current research and trends (pp. 119-123). Mahwah, NJ: Erlbaum.
9. Parasuraman, R., & Riley, V. (1997). Humans and automation: Use, misuse, disuse, abuse. Human Factors, 39, 230-253.
10. Parasuraman, R., Sheridan, T. B., & Wickens, C. D. (2000). A model for types and levels of human interaction with automation. IEEE Transactions on Systems, Man, and Cybernetics. Part A: Systems and Humans, 30, 286-297.
11. Scerbo, M. W., Freeman, F. G., Mikulka, P. J., Parasuraman, R., Di Nocero, F., & Prinzel, L. J. (2001). The efficacy of psychophysiological measures for implementing adaptive technology (NASA TP-2001-211018). Hampton, VA: NASA Langley Research Center.
12. Schmorrow, D. D. (2005). Foundations of Augmented Cognition. (D. D. Schmorrow, Ed.) (Human Fact., p. 1304). Lawrence Erlbaum Associates.
13. Sheridan, T. B., & Verplank, W. L. (1978). Human and Computer Control of Undersea Teleoperators. Paper presented at The 14th Annual Conference on Manual Control, USA.
14. Unsworth, N., Heitz, R. P., Schrock, J. C., & Engle, R. W. (2005). An automated version of the operation span task. Behavior Research Methods, 37, 498-505. (Pubitemid 43014274)
15. Wilson, G. F., & Russell, C.A (2007). Performance enhancement in an uninhabited air vehicle task using psychophysiologically determined adaptive aiding. Human Factors, 49, 1005-1018. (Pubitemid 350205837)