arXiv:2605.09043cs.CLcs.AI2026-05ACL

发现对话中情感理解分歧的临界点,揭示关系破裂前的隐性征兆。

Phase Transitions in Affective Meaning Divergence: The Hidden Drift Before the Break

  • 用博弈论建模对话双方情感认知差异,推导出分歧积累的动态机制
  • 实证发现分歧方差在关系崩溃前显著上升,且在652个案例中具统计显著性
  • 该方法可识别关系破裂前的预警信号,适合研究人际冲突与沟通修复

当一方说‘很好’意为‘和解’,另一方却听成‘屈服’,共享词汇却产生不同情感理解。本文将此现象形式化为情感意义分歧(AMD),即对话者锚定条件下的情感分布间总变差距离。基于言语行为理论、共同基础累积与熵正则化博弈论,推导出逻辑斯蒂最优响应映射,其动力学呈现鞍结分岔:当βα > 4时,AMD驱动负荷的单调增加会引发修复协调的突发、滞后性崩溃。在‘关系破裂对话’数据集(CGA-Wiki;N = 652)上,失序对话在多个层面表现出临界减速特征:词汇分歧方差(p < 0.001, d = 0.36)、AMD方差(p = 0.001, d = 0.26)、对话行为修复方差(p = 0.016, d = 0.20),经校正后仍显著,且强于毒性与情绪基线。AMD具有独特的时间标记:事后测量的方差在分岔点达到峰值,而毒性方差更早达峰,且唯一与理论框架一致。在CGA-CMV(N = 1,169)上的边界条件分析得出方向一致但混合的结果。

原文摘要 · Abstract (English)

One partner says "Fine" meaning "resolution"; the other hears "surrender." The word is shared; the affective uptake is not. We formalize this as affective meaning divergence (AMD), the total-variation distance between interlocutors' anchor-conditioned affect distributions. Building on speech-act theory, common-ground accumulation, and entropy-regularized game theory, we derive a logit best-response map whose dynamics undergo a saddle-node bifurcation: when $βα> 4$, a monotone increase in AMD-driven load produces an abrupt, hysteretic collapse of repair coordination. On Conversations Gone Awry (CGA-Wiki; $N = 652$), derailing conversations exhibit critical-slowing-down (CSD) signatures across multiple levels: lexical divergence variance ($p < 0.001$, $d = 0.36$), AMD variance ($p = 0.001$, $d = 0.26$), and dialog-act repair variance ($p = 0.016$, $d = 0.20$), all significant after correction and stronger than toxicity and sentiment baselines. AMD provides a distinct temporal signature, with retrospectively measured variance peaking at the bifurcation point while toxicity variance peaks earlier, and is the only indicator grounded in the theoretical framework. Boundary-condition analysis on CGA-CMV ($N = 1,169$) yields mixed but directionally consistent evidence.

情感分析对话系统临界现象社会计算

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