越相似越好？潜在语义相似性与情绪体验的关联因对话情境而异
The More Similar, the Better? Associations between Latent Semantic Similarity and Emotional Experiences Differ across Conversation Contexts
AI总结：
本研究通过50对夫妻对话的线性混合模型分析，发现潜在语义相似性与积极情绪体验的关联取决于对话情境：在愉快对话中，信息交换越不相似，积极情绪越强，支持了拓展-建构理论而非共享心智视角。
摘要：
潜在语义相似性（LSS）是衡量对话中信息交换相似度的一种指标。我们挑战了“更高的LSS具有更积极的心理意义”这一假设，提出这种关联可能取决于人们进行的对话类型。一方面，共享心智视角会预测更高的LSS应普遍与更积极的情绪体验相关。另一方面，拓展-建构理论则预测，更高的LSS应特别在愉快对话中与更积极的情绪体验呈负相关。基于50对长期婚姻夫妻对话的线性混合模型分析支持了后一种预测。也就是说，当伴侣在愉快（而非冲突）对话中的整体信息交换更不相似时，他们体验到更强烈的积极情绪。这项工作强调了情境在理解LSS情绪关联中的重要性，并展示了现代自然语言处理工具如何用于评估社会心理学中竞争性的理论驱动假设。
英文摘要：
Latent semantic similarity (LSS) is a measure of the similarity of information exchanges in a conversation. Challenging the assumption that higher LSS bears more positive psychological meaning, we propose that this association might depend on the type of conversation people have. On the one hand, the share-mind perspective would predict that higher LSS should be associated with more positive emotional experiences across the board. The broaden-and-build theory, on the other hand, would predict that higher LSS should be inversely associated with more positive emotional experiences specifically in pleasant conversations. Linear mixed modeling based on conversations among 50 long-term married couples supported the latter prediction. That is, partners experienced greater positive emotions when their overall information exchanges were more dissimilar in pleasant (but not conflict) conversations. This work highlights the importance of context in understanding the emotional correlates of LSS and exemplifies how modern natural language processing tools can be used to evaluate competing theory-driven hypotheses in social psychology.
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。
