Problem
Research questions and friction points this paper is trying to address.
GUI Design
Computational Psychology
User Interfaces
Grounding GUI Design in Computational Psychology
🤖 AI Summary
该研究通过应用答案集编程自动优化用户界面布局，解决视觉吸引力界面需大量手动迭代问题，平衡功能与美学目标。
📝 Abstract
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.
Innovation
Methods, ideas, or system contributions that make the work stand out.
answer set programming
automatic generation
UI layout optimization
design constraints
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