DesignQuizzer：一个用于学习视觉设计的社区驱动型对话代理
DesignQuizzer: A Community-Powered Conversational Agent for Learning Visual Design
AI总结：
本文提出DesignQuizzer，一种利用在线设计社区评论的对话代理，通过提取批评与建议并提问，帮助初学者学习视觉设计，实验证明其优于基线阅读方式。
摘要：
在线设计社区中，成员们会对他人的设计交换自由形式的观点，这为初学者学习视觉设计提供了空间。然而，这些社区的内容对学习者而言往往缺乏组织，包含许多冗余和不相关的评论。在本文中，我们提出了一种计算方法，利用在线设计社区来运行一个对话代理，以辅助视觉元素（如颜色和空间）的非正式学习。我们的方法从评论中提取关于视觉元素的批评、建议和理由。我们介绍了DesignQuizzer，它针对UI示例中的视觉设计提出问题，并提供结构化的评论摘要。两项用户研究证明了DesignQuizzer与基线（阅读reddit.com/r/UI_design）相比的参与度和实用性。我们还展示了新手在设计批评任务和视觉设计任务中如何有效地应用他们从DesignQuizzer学到的知识。我们讨论了如何将我们的方法应用于其他社区，并为社区驱动的学习支持工具提供了设计考虑。
英文摘要：
Online design communities, where members exchange free-form views on others' designs, offer a space for beginners to learn visual design. However, the content of these communities is often unorganized for learners, containing many redundancies and irrelevant comments. In this paper, we propose a computational approach for leveraging online design communities to run a conversational agent that assists informal learning of visual elements (e.g., color and space). Our method extracts critiques, suggestions, and rationales on visual elements from comments. We present DesignQuizzer, which asks questions about visual design in UI examples and provides structured comment summaries. Two user studies demonstrate the engagement and usefulness of DesignQuizzer compared with the baseline (reading reddit.com/r/UI_design). We also showcase how effectively novices can apply what they learn with DesignQuizzer in a design critique task and a visual design task. We discuss how to use our approach with other communities and offer design considerations for community-powered learning support tools.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
