Abstract
On Navy ships, technological developments enable crews to work more efficiently and effectively. However, in such complex, autonomous, and information-rich environments a competition for the users’ attention is going on between different information items, possibly leading to a cognitive overload. This overload originates in the limitations of human attention and constitutes a well-known and well-studied bottleneck in human information processing. The concept of adaptive automation promises a solution to the overwhelmed operator by shifting the amount of work between the human and the system in time, while maintaining a high level of situation awareness. One of the most critical challenges in developing adaptive human-machine collaboration concerns the design of a trigger mechanism. This paper discusses and evaluates a number of possible triggers for the usage in closed-loop adaptive automation from the perspective of command and control.
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Rouse, W.B.: Adaptive aiding for Human/Computer Control. Human factors, 431–443 (1988)
Bailey, N.B., Scerbo, M.W., Freeman, F.G., Mikulka, P.J., Scott, A.S.: Comparison of a Brain-Based Adaptive System and a Manual Adaptable System for Invoking Automation. Human factors, 693–709 (2006)
Parasuraman, R., Mouloua, M., Molloy, R.: Effects of adaptive task allocation on monitoring of automated systems. Human factors, 665–679 (1996)
Kaber, D., Endlsey, M.: The effects of level of automation and adaptive automation on human performance, situation awareness and workload in a dynamic control task. Theroretical Issues in Ergonomics Science (2004)
Hilburn, B., Jorna, P., Byrne, E., Parasuraman, R.: The effect of adaptive air traffic control (ATC) decision aiding on controller mental workload. In: Mouloua, M., Koonce, J.M. (eds.) Human-automation interaction: research and practice, pp. 84–91. Lawrence Erlbaum Associates, Mahwah (1997)
Scallen, S., Hancock, P., Duley, J.: Pilot performance and preference for short cycles of automation in adaptive function allocation. Applied ergonomics, 397–404 (1995)
Inagaki, T.: Situation-adaptive Autonomy for Time-critical Takeoff Decisions. International journal of modelling and simulation, 175–180 (2000)
Moray, N., Inagaki, T., Itoh, M.: Adaptive Automation, Trust, and Self-Confidence in Fault Management of Time-Critical Tasks. Journal of experimental psychology 6(1), 44–58 (2000)
Kruse, A.A., Schmorrow, D.D.: Session overview: Foundations of augmented cognition. In: Schmorrow, D.D. (ed.) Foundations of Augmented Cognition, pp. 441–445. Lawrence Erlbaum Associates, Mahwah (2005)
Veltman, J.A., Jansen, C.: The role of operator state assessment in adaptive automation, TNO Human Factors Research Institute (2006)
Scerbo, M.: Theoretical perspectives on adaptive automation. In: Parasuraman, R., Mouloua, M. (eds.) Automation and human performance: theory and applications, pp. 37–63. Lawrence Erlbaum Associates, Mahwah (1996)
Scerbo, M.W., Freeman, F.G., Mikulka, P.J., Parasuraman, R., Nocero, F.D., Prinzel, L.J.: The Efficacy of Psychophysiological. NASA/TP-2001-211018 (2001)
Shannon, C., Weaver, W.: The mathematical theory of communications. University of Illinois Press, Urbana (1949)
van Delft, J.H., Arciszewski, H.F.R.: The evaluation of automation and support tools in the naval command & control environment. TM-04-A067, Soesterberg, The Netherlands, TNO Human Factors (2004)
Neerincx, M.A.: Cognitive task load design: model, methods and examples. In: Hollnagel, E. (ed.) Handbook of Cognitive Task Design, pp. 283–305. Lawrence Erlbaum Associates, Mahwah (2003)
Beevis, D.: Analysis techniques for man-machine systems design, vol. 1 & 2. NATO/Panel 8-RSG.14, Technical Report AC/243(Panel 8)TR/7, Brussels: North Atlantic treaty organization (1992)
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de Greef, T., Arciszewski, H. (2007). A Closed-Loop Adaptive System for Command and Control. In: Schmorrow, D.D., Reeves, L.M. (eds) Foundations of Augmented Cognition. FAC 2007. Lecture Notes in Computer Science(), vol 4565. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73216-7_31
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DOI: https://doi.org/10.1007/978-3-540-73216-7_31
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