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.
Highlights
Human-machine interaction interface is the medium between human and machine to transmit information and is the specific form of expression between the human, machine, and environment, which is the necessary means to realize the interaction
Based on the cognitive model, the layout principles of humanmachine interaction interface were summarized as the layout constraints
The problem of solving layout scheme was transformed into combinatorial optimization problem, and GAACA was put forward to solve the problem, which realized the algorithmization of artificial optimization process
Summary
Human-machine interaction interface is the medium between human and machine to transmit information and is the specific form of expression between the human, machine, and environment, which is the necessary means to realize the interaction. All sorts of machine’s display have effect on people, which will realize the information transmission between machine and human. Huo et al [5] presented human-machine cooperation immune algorithm, ant colony algorithm, genetic algorithm, and other methods to solve the problem of satellite cabin layout design and acquired the engineering satisfactory solution and superior computational efficiency. Zong et al [8, 9] established the layout optimization mathematical model of manned submersibles cabin, proposed multiobjective optimization calculation method based on the Pareto PGA algorithm, and proposed artificial fish algorithm to solve the deep submergence cabin layout optimization problem. Wang et al [10] established layout optimization mathematical model of ship cabin based on improved genetic algorithm
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
