论文标题
甘斯普利特：在用户界面设计中平衡目标和偶然性灵感与基于样式的生成对抗网络
GANSpiration: Balancing Targeted and Serendipitous Inspiration in User Interface Design with Style-Based Generative Adversarial Network
论文作者
论文摘要
设计示例中的灵感在用户界面设计的创作过程中起着至关重要的作用。但是，支持灵感的当前工具和技术通常只关注示例浏览有限的用户控制或基于相似性的示例检索，从而导致不良的设计成果，例如焦点漂移和设计固定。为了解决这些问题，我们提出了甘斯普利化方法，该方法为目标和偶然的灵感提供了设计示例，利用了基于样式的生成对抗网络。定量评估表明，基于甘斯图尔的示例建议方法的输出与输入设计有关，同时包括不同的实例。对专业UI/UX从业人员的用户研究表明，我们的方法建议的示例是整体设计概念和特定设计元素的可行灵感来源。总体而言，我们的工作铺平了使用先进的生成机学习技术来支持创意设计实践的道路。
Inspiration from design examples plays a crucial role in the creative process of user interface design. However, current tools and techniques that support inspiration usually only focus on example browsing with limited user control or similarity-based example retrieval, leading to undesirable design outcomes such as focus drift and design fixation. To address these issues, we propose the GANSpiration approach that suggests design examples for both targeted and serendipitous inspiration, leveraging a style-based Generative Adversarial Network. A quantitative evaluation revealed that the outputs of GANSpiration-based example suggestion approaches are relevant to the input design, and at the same time include diverse instances. A user study with professional UI/UX practitioners showed that the examples suggested by our approach serve as viable sources of inspiration for overall design concepts and specific design elements. Overall, our work paves the road of using advanced generative machine learning techniques in supporting the creative design practice.
