将GUI设计建立在计算心理学基础上
Grounding GUI Design in Computational Psychology
- University of Jyväskylä(于韦斯屈莱大学)
- University of Potsdam(波茨坦大学)
机构由 AI 辅助整理,请以论文原文为准。
中文总结 AI 辅助
该研究提出基于回答集编程(ASP)的自动UI布局生成与优化方法,经实验验证其生成的布局在用户评分和设计探索支持上优于随机设计与简单启发式布局。
中文摘要 AI 辅助
创建视觉吸引力强的用户界面通常需要大量手动迭代。我们提出一种方法,将回答集编程(ASP)应用于自动生成和优化用户界面布局,同时满足网格对齐、分组、色彩和谐、留白等设计目标,以及设计师指定的偏好。我们的方法对元素属性和相对位置进行编码,生成平衡功能与美学目标的布局。我们通过三项研究评估该方法:在两项用户研究中,参与者对完整ASP模型生成的布局评分高于随机设计和基于简单启发式的布局;设计师表示ASP生成的布局支持早期草图绘制与探索。
英文摘要
Creating visually appealing user interfaces often requires extensive manual iteration. We propose an approach that applies answer set programming (ASP) to automatically generate and optimize UI layouts while satisfying design objectives such as grid alignment, grouping, color harmony, and whitespace, along with designer-specified preferences. Our method encodes constraints on element properties and relative positioning, producing layouts that balance functional and aesthetic goals. We evaluate this approach in three studies. Across two user studies, participants rated layouts generated with the full ASP model higher than both random designs and those based on simple heuristics. Designers reported that ASP-generated layouts supported early-stage sketching and exploration.