基于模糊遗传机制的人机交互界面布局优化方法

Human-computer Interaction Interface Layout Optimization Method Based on Fuzzy Genetic Mechanism

复杂系统的人机交互界面布局直接影响系统运行人机交互绩效及运行安全性。提出了基于模糊遗传机制的人机交互界面布局智能优化方法,综合考虑多条布局原则,构建了基于理想点方法及布局原则量化系数模型的布局优化适应度值函数,以反映和评价布局方案优劣程度;构造了基于模糊方法的布局遗传进化选择和变异操作方法,提高了寻优搜索的效率并避免了搜索过程的局部收敛。提出了人机交互界面布局的虚拟验证方法,实时追踪和统计人机交互动态仿真过程中人体模型肢体运动轨迹,对人机交互界面优化结果进行验证。最后以实例验证了该方法对于人机交互界面布局优化的有效性。

The human-computer interaction interface layout of a complex system directly affects the human-computer interaction performance and operation safety of the system.An intelligent optimization method of human-computer interaction interface layout based on fuzzy genetic mechanism is proposed.Considering multiple layout principles,a fitness value function of layout optimization based on ideal point method and quantitative coefficient model of layout principles is constructed to reflect and evaluate the merits of layout scheme.Based on the fuzzy method,genetic evolutionary selection and mutation operation of layout are constructed,which can improve the efficiency of searching optimization and avoid local convergence.A virtual verification method of human-computer interaction interface layout is proposed to track and count the body movement track of human model in the process of human-computer interaction dynamic simulation in real time,and verify the optimization results of human-computer interaction interface.Finally,an example is given to demonstrate the effectiveness of this method for human-computer interface layout optimization.