人格差异驱动对话动态：一种高维自然语言处理方法
Personality Differences Drive Conversational Dynamics: A High-Dimensional NLP Approach
AI总结：
本文利用高维NLP方法分析1655段陌生人对话，发现开放性和外向性人格差异分别影响主题广度与语言对齐变化，并揭示人格差异是社会影响的重要驱动因素。
摘要：
本文研究了二元对话的主题流如何随时间涌现，以及对话者人格特质差异如何促成这种主题流。利用文本嵌入，我们将 N = 1655 段陌生人之间的对话轨迹映射到高维空间中。通过非线性投影和聚类，我们识别出每个对话者何时进入和退出各种主题。对话流的差异通过主题熵（topic entropy）和语言对齐（linguistic alignment）来量化，前者是对对话中涉及主题“散布”程度的汇总度量，后者是对话者嵌入之间余弦相似度的时变度量。我们的研究发现表明，在开放性人格维度上差异较大的对话者会相互影响，从而花更多时间讨论更广泛的主题；而在外向性上差异较大的对话者，在整个对话过程中语言对齐的下降幅度更大。我们还考察了参与者在对话前后的情感（情绪）变化，发现外向性差异越大，情感变化差异越大；主题熵越大，情感提升越大。本工作展示了如何利用高维自然语言处理方法推进传播学研究，并将人格差异识别为社会影响的重要驱动因素。
英文摘要：
This paper investigates how the topical flow of dyadic conversations emerges over time and how differences in interlocutors' personality traits contribute to this topical flow. Leveraging text embeddings, we map the trajectories of $N = 1655$ conversations between strangers into a high-dimensional space. Using nonlinear projections and clustering, we then identify when each interlocutor enters and exits various topics. Differences in conversational flow are quantified via $\textit{topic entropy}$, a summary measure of the "spread" of topics covered during a conversation, and $\textit{linguistic alignment}$, a time-varying measure of the cosine similarity between interlocutors' embeddings. Our findings suggest that interlocutors with a larger difference in the personality dimension of openness influence each other to spend more time discussing a wider range of topics and that interlocutors with a larger difference in extraversion experience a larger decrease in linguistic alignment throughout their conversation. We also examine how participants' affect (emotion) changes from before to after a conversation, finding that a larger difference in extraversion predicts a larger difference in affect change and that a greater topic entropy predicts a larger affect increase. This work demonstrates how communication research can be advanced through the use of high-dimensional NLP methods and identifies personality difference as an important driver of social influence.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
