Adaptable and adaptive automation for supervisory control of multiple autonomous vehicles

Proceedings of the Human Factors and Ergonomics Society

Volumn , Issue , 2012, Pages 428-432

  Kidwell, Brian ^a   Calhoun, Gloria L ^b   Ruff, Heath A ^c   Parasuraman, Raja ^a  

^a GEORGE MASON UNIVERSITY   (United States)

^b AIR FORCE RESEARCH LABORATORY   (United States)

^c BALL AEROSPACE AND TECHNOLOGIES CORP   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE AUTOMATION; AUTOMATION CONTROLS; BALANCE OF SYSTEMS; CHANGE DETECTION; HUMAN INTERACTIONS; MULTIPLE AUTONOMOUS VEHICLES; OPTIMAL OPERATORS; SITUATION AWARENESS; SUPERVISORY CONTROL; VEHICLE SIMULATION;

ERGONOMICS; HUMAN ENGINEERING; PHYSICAL THERAPY; PSYCHOLOGY COMPUTING;

AUTOMATION;

EID: 84873445688     PISSN: 10711813     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1177/1071181312561096     Document Type: Conference Paper

References (22)

1. Calhoun, G.L., Ruff, H.A., Draper, M.H., &Wright, E.J. (2011). Automation level transference effects in simulated multiple unmanned aerial vehicle control. Journal of Cognitive Engineering & Decision Making, 5(1), 55-82.
2. Calhoun, G.L., Ward, V.B.R., & Ruff, H.A. (2011). Performance-based adaptive automation for supervisory control. In Proceedings of the Human Factors & Ergonomics Society, pp. 2059-2063.
3. Chen, J.Y.C., & Barnes, M.J. (2012). Supervisory control of multiple robots: Effects of imperfect automation and individual differences. Human Factors, 54(2), 157-174.
4. Cosenzo, K., Parasuraman, R., Novak, A., & Barnes, M. Army Research Laboratory, Human Research and Engineering Directorate. (2006). Implementation of automation for control of robotic systems (ARL-TR-3808).
5. 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, San Francisco, pp 1087-1091
6. Di Nocera, F., Lorenz, B., & Parasuraman, R. (2005). Consequences of shifting from one level of automation to another: main effects and their stability. In D. de Waard, K.A. Brookhuis, R. van Egmond, & T. Boersema (Eds.), Human Factors in Design, Safety, and Management (pp. 363-376). Maastricht, the Netherlands: Shaker Publishing.
7. Endsley, M., & Kiris, E. (1995). The out-of-the-loop performance problem and level of control in automation. Human Factors, 37(2), 381-394.
8. Johnson, R., Leen, M., & Goldberg, D. (2007). Testing adaptive levels of automation (ALOA) for UAV supervisory control (Technical Report AFRL-HE-WP-TR-2007-0068), Air Force Research Laboratory.
9. Kaber, D.B, & Endsley, M.R. (2003). The effects of level of automation and adaptive automation on human performance, situation awareness and workload in a dynamic control task. Theoretical Issues in Ergonomics Science, 1-40.
10. Kirlik, A. (1993). Modeling strategic behavior in human-automation interaction: Why an "aid" can (and should) go unused. Human Factors, 35(2), 221-242.
11. Levinthal, B. R., & Wickens, C. D. (2006). Management of multiple UAVs with imperfect automation. In Proceedings of the Human Factors and Ergonomics Society, pp. 1941-1944.
12. Miller, C.A., Funk, H., Goldman, R., Meisner, J., & Wu, P. (2005). Implications of adaptive vs. adaptable UIs on decision making: Why "automated adaptiveness" is not always the right answer. Proceedings of the 1st International Conference on Augmented Cognition, Las Vegas.
13. Miller, C.A., & Parasuraman, R. (2007). Designing for flexible interaction between humans and automation: Delegation interfaces for supervisory control. Human Factors, 49(1), 57-75.
14. Moray, N., Inagaki, T., & Itoh, M. (2000). Adaptive automation, trust, and self-confidence in fault management of time-critical tasks. Journal of Experimental Psychology: Applied, 6(1), 44-58.
15. Opperman, R. (1994). Adaptive user support. Hillsdale, NJ: Erlbaum.
16. Parasuraman, R., Barnes, M., & Cosenzo, K. (2007). Adaptive automation for human-robot teaming in future command and control systems. The International C2 Journal, 1(2), 43-68.
17. Parasuraman, R., Cosenzo, K.A., & 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(2), 270-2.
18. Parasuraman, R., Galster, S., Squire, P., Furukawa, H., & Miller, C. (2005). A flexible delegation interface enhances system performance in human supervision of multiple autonomous robots: Empirical studies with RoboFlag. IEEE Transactions on Systems, Man, and Cybernetics. Part A: Systems and Humans, 35, 481-493.
19. Parasuraman, R., & Riley, V. (1997). Humans and automation: Use, misuse, disabuse, abuse. Human Factors, 39(2), 230-253.
20. Parasuraman, R., Sheridan, T., & Wickens, C. (2000). A model for types and levels of human interaction with automation. IEEE Transactions on Systems, Man, and Cybernetics, 30(3), 286-297.
21. Saucier, G. (2003). Orthogonal markers for orthogonal factors: The case of the Big Five. Journal of Research in Personality, 36, 1-31.
22. Squire, P. N., & Parasuraman, R. (2010). Effects of automation and task load on task switching during human supervision of multiple semiautonomous robots in a dynamic environment. Ergonomics, 53(8), 951-961.