Title: Conch: Competitive Debate Analysis via Visualizing Clash Points and Hierarchical Strategies Show Chinese title

Title: 康赫：通过可视化冲突点和层次策略进行竞争性辩论分析

Abstract: In-depth analysis of competitive debates is essential for participants to develop argumentative skills and refine strategies, and further improve their debating performance. However, manual analysis of unstructured and unlabeled textual records of debating is time-consuming and ineffective, as it is challenging to reconstruct contextual semantics and track logical connections from raw data. To address this, we propose Conch, an interactive visualization system that systematically analyzes both what is debated and how it is debated. In particular, we propose a novel parallel spiral visualization that compactly traces the multidimensional evolution of clash points and participant interactions throughout debate process. In addition, we leverage large language models with well-designed prompts to automatically identify critical debate elements such as clash points, disagreements, viewpoints, and strategies, enabling participants to understand the debate context comprehensively. Finally, through two case studies on real-world debates and a carefully-designed user study, we demonstrate Conch's effectiveness and usability for competitive debate analysis. Show Chinese abstract

Abstract: 对竞争性辩论的深入分析对于参与者发展论证技巧和优化策略，以及进一步提高辩论表现至关重要。 然而，对未结构化和无标签的辩论文本记录进行人工分析既耗时又低效，因为从原始数据中重建上下文语义并追踪逻辑联系具有挑战性。 为了解决这个问题，我们提出了Conch，一个交互式可视化系统，该系统系统地分析辩论的内容以及辩论的方式。 特别是，我们提出了一种新颖的平行螺旋可视化方法，能够紧凑地追踪辩论过程中冲突点和参与者互动的多维演变。 此外，我们利用设计良好的提示语的大语言模型，自动识别关键辩论要素，如冲突点、分歧、观点和策略，使参与者能够全面理解辩论背景。 最后，通过两个现实辩论案例研究和一个精心设计的用户研究，我们展示了Conch在竞争性辩论分析中的有效性和可用性。