发表机构
Data Analysis and Visualization Lab University of Konstanz; Telos Lab Aalto University（康斯坦茨大学数据分析与可视化实验室; 阿尔托大学Telos实验室）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
针对法律文档复杂性，提出Lexplorer界面，基于用户意图分类法支持探索导航分析，经法律学者评估验证，促进法律中的适应性意义构建。
AI 中文摘要
随着技术和社会的创新带来新的监管挑战，法律体系的复杂性不断增加，这加大了对能够有效交互法律文档集合的界面的需求。通过对法律学者（n=15）的访谈，我们发现支持法律工作需要的不仅仅是基于检索的法律信息系统范式。因此，我们提出了Lexplorer，一个基于捕获用户意图的分类法的灵活界面，用于探索、导航和分析法律文档。Lexplorer区分了针对一份、少数和多份文档的文本和数据视图，能够实现对相互关联的法律文本的不断演化的集合进行上下文敏感的交互，促进法律中的适应性意义构建。我们在欧盟法律的背景下，对法律学者（n=20）评估了Lexplorer，验证了我们所引出的需求、意图分类法和原型设计。作为可视化分析研究人员与法律学者紧密合作的成果，我们的工作还为设计面向由隐性方法论知识驱动的专家领域的交互式系统所需的过程提供了细致入微的见解。
英文摘要
As technological and social innovations create novel regulatory challenges, legal systems grow in complexity - increasing the need for interfaces that enable effective interactions with legal document collections. Through interviews with legal scholars (n=15), we find that supporting legal work requires going beyond retrieval-centered legal-information-system paradigms. Hence, we propose Lexplorer, a flexible interface for exploring, navigating, and analyzing legal documents, based on a taxonomy capturing user intents. Distinguishing text and data views for one, few, and many documents, Lexplorer enables context-sensitive interactions with evolving collections of interconnected legal texts, facilitating Adaptive Meaning Construction in law. We evaluate Lexplorer with legal scholars (n=20) in the context of European Union law, validating our elicited requirements, intent taxonomy, and prototype design. Resulting from a close collaboration between visual-analytics researchers and legal scholars, our work also provides nuanced insights into the process required to design interactive systems for expert domains driven by implicit methodological knowledge.
Comments32 pages, 10 figures, 3 tables
