Title :
A framework for analyzing human factors in unmanned aerial systems
Author :
Stark, Brandon ; Coopmans, Calvin ; Chen, YangQuan
Author_Institution :
Dept. of Electr. & Comput. Eng., Utah State Univ., Logan, UT, USA
Abstract :
The human factors involved in an unmanned aerial system (UAS) come in a variety of forms that has largely gone poorly represented in literature. In this paper, a holistic approach is taken to identify not only the individual aspects but the interconnection of the human-UAS interaction. First, an examination of human factors involved in a UAS are presented. Next, the metrics of human performance, such as cognitive load, situational awareness and complacency are introduced. Finally, a framework is developed to form the interconnection of human factors with human performance metrics in a UAS. With this framework in place, the intended goal is that an optimal level of cognitive workload for the humans involved in an UAS can be designed and implemented by the utilization of this framework during the development of advanced automation systems and human interface devices.
Keywords :
autonomous aerial vehicles; cognition; human factors; advanced automation systems; cognitive workload; human factors; human interface devices; human performance metrics; human-UAS interaction interconnection; unmanned aerial systems; Accidents; Automation; Computers; Human factors; Humans; Measurement; Safety; cognitive load; human factor; human-automation interaction; unmanned aerial systems;
Conference_Titel :
Resilient Control Systems (ISRCS), 2012 5th International Symposium on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
978-1-4673-0161-9
Electronic_ISBN :
978-1-4673-0162-6
DOI :
10.1109/ISRCS.2012.6309286