人工智能的最新进展正在带来一种变革性的AI驱动的产品设计方法,对许多行业产生重大影响.本文提出了一种基于运动型多用途车前脸风格意象的情感设计方法,利用扩散模型辅助生成新的造型方案,通过眼动追踪技术对生成的样本进行评估,旨在帮助设计师了解AI驱动模式下,代表不同风格意象的 SUV 汽车融合后,消费者对融合前后样本前脸特征关注的重点.实验结果表明:(1)有无格栅的设计会影响被试者对"时尚的"的意象感知;(2)格栅样式会影响"沉稳的"和"科技的"感知,有边框的格栅促进"沉稳的"感知,无边框格栅更易感知到"科技的"意象;(3)上扬的特征线和细长上扬的前车灯促进"时尚的"意象感知.研究结果为基于AI驱动设计不同风格产品提供了一个新的思路,增加对人工智能应用于产品设计的理解.
Front Face Style Image of SUVs Based on Diffusion Models
The latest advancements in AI are ushering in a revolutionary AI-driven approach to product design,significantly impacting various industries.This paper introduces an emotion-based design method for the front face style image of SUV,utilizing diffusion models to assist in generating new styling options.The method incorporates eye-tracking technology to evaluate the generated samples,aiming to aid designers in understanding consumer focus on the front face features of SUV with different style images before and after AI-driven amalgamation.The experimental results indicate that(1)the presence or absence of a grille influences the perception of a"fashionable"image;(2)grille style affects the perception of"steady"and"technological"images,with framed grilles enhancing the"steady"perception,and frameless grilles leading to a stronger"technological"image;and(3)uplifted feature lines and slender,upward front headlights promote the perception of a"fashionable"image.The findings offer a novel approach to AI-driven design of various style products and enhance the understanding of AI applications in product design.
artificial intelligencediffusion modelSUV front face designstyle imagestyling features
万方数据
维普
