人机交互界面视觉美学计算与实验方法研究

In the field of traditional human-computer interaction interface design, the focus is on function and usability. Most of the studies are still at the level of satisfying basic human physiology and behavior, and the operator’s psychological, cognitive and other perceptual behavior characteristics are often ignored. The design idea of “people-oriented” is not only reflected in the product function, but also in the pleasant experience of users in the process of using. Therefore, it is necessary to scientifically evaluate the aesthetic feeling of the interface. This project takes the visual aesthetics measurement of human-computer interaction interface as the research object. With the help of aesthetic principles such as the principle of formal beauty and the quantitative analysis method of Kansei engineering on perceptual experience, the perceptual image structure of interface aesthetics is established. Combined with the multi-mode physiological signals experiment of Eye tracking and EEG, the neural mechanism of human aesthetic activities is explained by using the physiological measurement means of modern cognitive neuroscience, and the law of the influence of interface aesthetic elements on aesthetic feeling is studied. Mathematical logic is used to embody the vague sensibility, aesthetic calculation system of interface and aesthetic prediction model based on gene expression programming are established, the influence of human-computer interaction interface esthetics on interface usability is ascertained. Results from this project will help in revealing the coupling relationship of interface shape-color-layout in the influence of interface esthetics, and provide the fundamental knowledge and method for designer to define design direction, design effect and improve the efficiency and success rate of interface development.

传统人机交互界面设计领域关注的重点是功能和可用性，大部分研究还处于满足基本的人体生理和行为层面，操作者的心理、认知等感性行为特点常常被忽略。“以人为本”的设计思想不仅体现在产品功能上，更体现在用户使用过程中所产生的愉悦体验，因此如何科学的评价界面的美感显得很有必要。本项目研究以人机交互界面的视觉美学度量为研究对象，借助形式美法则等美学原理，运用感性工学对感性体验的定量分析方法，建立界面美学的感性意象结构。结合眼动-脑电多模生理信号实验，利用现代认知神经科学的生理测量手段来解释人类审美活动的神经机制，研究界面美学元素对美感的影响规律。用数理逻辑体现模糊的感性，建立界面美感计算体系和基于基因表达式编程的美感预测模型，查明人机交互界面美学对界面可用性的影响，揭示界面形态-色彩-布局在界面美感影响中的耦合关系，为辅助设计师明确设计方向、预测设计效果、提高界面开发效率和成功率提供研究基础与方法。

传统人机交互界面设计领域关注的重点是功能和可用性，操作者的心理、认知等感性行为特点常常被忽略。“以人为本”的设计思想不仅体现在产品功能上，更体现在用户使用过程中所产生的愉悦体验，因此如何科学的评价界面的美感显得很有必要。.本项目研究以人机交互界面的视觉美学度量为研究对象，借助形式美法则等美学原理，运用感性工学对感性体验的定量分析方法，从审美认知的角度分析了界面美度的感性意象结构，通过因子分析法提取出了界面美学意象因子（比例、简洁、秩序、节奏、疏密、均衡）。根据美度指标构建了界面美度的计算体系，以相应的美度评价数学方程式计算美学意象因子的美度值。.结合眼动-脑电技术进行界面形态、色彩、布局美感实验，研究界面美学元素对美感的影响规律。分析了曲率和比例对人机交互界面设计情感偏好的影响，app图标边框形状和界面背景色彩饱和度对视觉搜索效率和用户体验的影响，图文布局和图标布局对认知绩效和视觉美学体验的影响。初步形成了一套人机交互界面视觉美感预测的方法，包括运用TOPSIS法对布局设计方案的美度值进行综合评价，利用人工蜂群算法优化后的BP神经网络来评价界面色彩，利用基因表达式编程算法获取眼动-脑电实验生理指标与色彩意象之间的最佳拟合函数，基于区间适应值灰度的交互式遗传配色。.本项目研究成果在司钻控制台人机交互界面布局美度评价、app界面色彩设计、音箱配色设计、文创产品设计等进行了应用和验证，辅助设计师进行方案的美学评价与优化，将为产品美学设计提供理论支持。