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Updated: Jan 10, 2026

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The HoneyComb Paradigm for Research on Collective Human Behavior
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贝:通过可视化冲突点和层次战略进行竞争辩论分析
IEEE transactions on visualization and computer graphics
|November 21, 2025
概括
Conch是一个新的交互式可视化系统,用于分析竞争性辩论. 它使用大型语言模型和新的可视化来帮助辩论者提高他们的技能和表现.
科学领域:
- 计算社会科学 计算社会科学
- 人与计算机的交互
- 论证理论 论证理论
背景情况:
- 对辩论成绩单的手动分析对于识别辩论策略和背景是无效的.
- 非结构化的辩论数据阻碍了语义意义和逻辑流程的重建.
研究的目的:
- 介绍Conch,一个用于系统竞争辩论分析的交互式可视化系统.
- 提高对辩论内容和动态的理解.
- 通过有效的分析工具,提高辩论者的表现.
主要方法:
- 开发了一种新的并行螺旋可视化来跟踪冲突点和参与者互动.
- 使用大型语言模型与特定提示,自动检测关键辩论元素 (冲突点,分歧,观点,策略).
- 进行实践辩论的案例研究和用户研究,以评估系统.
主要成果:
- 孔子有效地分析了辩论的多维方面,包括冲突演变和相互作用模式.
- 通过LLM自动识别辩论元素,提供了全面的上下文理解.
- 用户研究证实了Conch在竞争辩论分析中的有效性和可用性.
结论:
- 康克提供了一种系统和高效的方法来分析竞争辩论,克服手工方法的局限性.
- 可视化和LLM的整合为辩论者提供了有价值的见解.
- 该系统显示了提高辩论技巧和辩论表现的潜力.
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