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Comput Intell Neurosci

Title:		Layout Design of Human-Machine Interaction Interface of Cabin Based on Cognitive Ergonomics and GA-ACA
Author(s):		Deng L; Wang G; Yu S;
Address:		"School of Mechatronic Engineering, Southwest Petroleum University, Chengdu 610500, China; Institute of Industrial Design, Northwestern Polytechnical University, Xi'an 710072, China. State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu 610500, China. Institute of Industrial Design, Northwestern Polytechnical University, Xi'an 710072, China"
Journal Title:		Comput Intell Neurosci
Year:		2016
Volume:		20160118
Issue:
Page Number:		1032139 -
DOI:		10.1155/2016/1032139
ISSN/ISBN:		1687-5273 (Electronic) 1687-5265 (Print)
Abstract:		"In order to consider the psychological cognitive characteristics affecting operating comfort and realize the automatic layout design, cognitive ergonomics and GA-ACA (genetic algorithm and ant colony algorithm) were introduced into the layout design of human-machine interaction interface. First, from the perspective of cognitive psychology, according to the information processing process, the cognitive model of human-machine interaction interface was established. Then, the human cognitive characteristics were analyzed, and the layout principles of human-machine interaction interface were summarized as the constraints in layout design. Again, the expression form of fitness function, pheromone, and heuristic information for the layout optimization of cabin was studied. The layout design model of human-machine interaction interface was established based on GA-ACA. At last, a layout design system was developed based on this model. For validation, the human-machine interaction interface layout design of drilling rig control room was taken as an example, and the optimization result showed the feasibility and effectiveness of the proposed method"
Keywords:		*Algorithms Animals Ants Cognition/*physiology Electronic Data Processing *Ergonomics Humans *Man-Machine Systems *Psychological Theory;
Notes:		"MedlineDeng, Li Wang, Guohua Yu, Suihuai eng Research Support, Non-U.S. Gov't 2016/02/18 Comput Intell Neurosci. 2016; 2016:1032139. doi: 10.1155/2016/1032139. Epub 2016 Jan 18"