发表机构
The Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州））
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
针对非专家理解复杂法律判决的困难，提出AI增强阅读系统JudgmentLens，结合持久案例表征、自适应解释和可追溯链接，实验表明其提升任务速度并降低工作负荷。
AI 中文摘要
司法判决日益可得，但其密集的语言以及事实、证据、推理和裁决之间的分布式关系，使非专家难以解读。通过一项针对中国非专家读者的混合方法形成性研究（调查N=34；访谈N=6），我们识别出结构、解释、验证和行动方面的障碍。我们开发了JudgmentLens，一个AI增强的阅读系统，结合了持久案例表征、自适应解释以及从生成解释到判决段落的可追溯链接。在一项平衡的受试者内评估（N=16）中，参与者使用JudgmentLens完成任务的速度快于传统PDF阅读，并报告了更低的工作负荷和更高的自我报告决策理解度，而基于量规的理解评分无可靠差异。一项探索性的PDF+DeepSeek探针表明，对话式AI支持了已提出的问题，而问题提出、答案整合和来源检查主要留给用户。我们贡献了关于非专家判决理解的实证描述，以及可检查、基于来源的AI中介的设计策略。
英文摘要
Judicial judgments are increasingly available, yet dense language and distributed relationships among facts, evidence, reasoning, and rulings remain difficult for non-experts to interpret. Through a mixed-methods formative study with Chinese non-expert readers (survey N=34; interviews N=6), we identified structural, interpretive, verification, and action breakdowns. We developed JudgmentLens, an AI-augmented reading system combining persistent case representations, adaptive explanations, and traceable links from generated interpretations to judgment passages. In a counterbalanced within-subject evaluation (N=16), participants completed tasks faster with JudgmentLens than with conventional PDF reading and reported lower workload and greater self-reported decision understanding, while rubric-scored comprehension did not differ reliably. An exploratory PDF+DeepSeek probe suggested that conversational AI supported formulated questions while leaving question formulation, answer integration, and source checking largely to users. We contribute an empirical account of non-expert judgment sensemaking and design strategies for inspectable, source-grounded AI mediation.
