Research On Optimization And Evaluation Method Of Man-machine Interface Layout For Special Vehicles

With the advancement of technology and the development of weapons and equipment,new concepts and new technologies are emerging in the field of human-computer interaction.These technologies have changed people's work,life and entertainment methods again and again in the civilian field.A special vehicle is a vehicle with a special purpose that exceeds the size of an ordinary vehicle in terms of outer dimensions and weight.Common special vehicles include civil engineering rescue vehicles,fire engines and other vehicles,including military vehicles such as tanks and armored vehicles.Due to the particularity of its structure and function and the complexity of the working environment,this type of vehicle is often complex and large.The human-computer interaction interface is the interface and medium for information exchange between people and machines.The rationality of its design largely determines the performance of human-computer interaction.In the past,the design of humancomputer interaction interface was mostly based on the previous design version.It was designed based on expert opinions and experience.Although this design method can meet the needs of special vehicles to perform daily tasks,it is difficult to be in complex and extreme conditions.Guarantee the friendliness and pleasantness of human-computer interaction.Therefore,how to make effective human-computer interaction interface layout design that can be applied to complex environments based on human cognitive characteristics and humancomputer interaction system is a key issue that needs to be solved in current special vehicles.Between this,this paper will take the human-computer interaction system of special vehicles as the research object,and intend to carry out the following research on the layout optimization design of its interactive interface:(1)Research on the design principle of human-computer interaction interface layout for special vehicles.Firstly,the general design principles of human-computer interaction of special vehicles are summarized and introduced.Then,the cognitive rules of "human",the display device of "machine" and the design rules of control devices are discussed in depth.Finally,according to special The general design principle of vehicle human-computer interaction fully considers the characteristics of "person" and "machine".The principle of human-computer interaction interface layout in this paper is proposed.(2)Research on human-computer interaction interface layout design model.Firstly,according to the function of each component and the design principle of human-computer interaction interface,the space to be arranged is divided into regions and the problem is abstracted and reduced in dimension,which is transformed into the layout problem of two-dimensional components.Then,using mathematics The modeling method transforms the man-machine interface layout problem into a mathematical problem.Finally,the fuzzy analytic hierarchy process is used to quantify each layout principle and index into each subobjective function,and the weight of each index is determined to obtain the objective function of the layout problem..(3)Research on layout optimization algorithm.This paper attempts to solve the established mathematical model by using the improved bacterial foraging algorithm and the genetic algorithm widely used to solve the layout problem.Then,through the case test,the feasibility of the bacterial foraging algorithm to solve the layout optimization problem is proved.The quality and convergence of the solution to the layout optimization problem of the bacterial foraging problem are discussed with reference to the results of the genetic algorithm.(4)Research on evaluation methods of human-computer interaction interface.From the perspective of the cognitive load of the operator,the combination of theory and experiment is used to evaluate the performance of the alternative human-computer interaction interface layout scheme.Finally,we performed a performance evaluation using the BP neural network evaluation model.