Title :
Human-machine system design optimization for nondeterministic spacecraft anomaly determination/resolution
Author :
Hunold, Kriss Q. ; LaCourse, John R.
Author_Institution :
Biomed. Eng. Center, New Hampshire Univ., Durham, NH, USA
Abstract :
This study addressed the issues of uncertainty inherent in satellite control and in optimizing the roles of the human in the combined human/machine system unit. Three different "Types" of tasks were defined. Each "Type" category was represented of the level of knowledge required to perform the task most effectively (low/moderate/high). Each task consists of resolving a unique satellite vehicle anomaly within pre-scripted scenarios. The role of human knowledge was examined and found to be significantly important. This result was more evident as the situation uncertainty or complexity of the task increased.
Keywords :
aerospace control; artificial satellites; command and control systems; knowledge management; man-machine systems; Type category; combined human/machine system unit; expert crews; human knowledge; human roles; human-machine system design optimization; nondeterministic spacecraft anomaly determination; nondeterministic spacecraft anomaly resolution; prescripted scenarios; satellite command and control; satellite control; situation uncertainty; systems design approach; task complexity; tasks; unique satellite vehicle anomaly; Automation; Biomedical engineering; Command and control systems; Control systems; Design optimization; Force control; Humans; Satellites; Space vehicles; Uncertainty;
Conference_Titel :
Bioengineering Conference, 2003 IEEE 29th Annual, Proceedings of
Print_ISBN :
0-7803-7767-2
DOI :
10.1109/NEBC.2003.1216016