论文标题
保持外表：面部表现在说服的讨论中的计算模型
Keeping Up Appearances: Computational Modeling of Face Acts in Persuasion Oriented Discussions
论文作者
论文摘要
面部的概念是指个人的公众自我形象，这既来自个人的行为，也是从与他人的互动中出现的。在整个对话中，建模面对面并了解其状态的变化对于研究基本人类在互动中的基本需求的研究至关重要。基于Brown和Levinson（1978）的礼貌理论，我们提出了一个通用的框架，用于在说服对话中进行建模，从而产生可靠的编码手册，带注释的语料库和计算模型。该框架揭示了关于说服对话中不对称作用之间面部行为利用差异的见解。使用计算模型，我们能够成功识别面部行为并预测关键的对话结果（例如捐赠成功）。最后，我们对会话状态的潜在表示，以分析预测的面部行为对积极对话结果的可能性的影响，并观察到一些证实了先前发现的相关性。
The notion of face refers to the public self-image of an individual that emerges both from the individual's own actions as well as from the interaction with others. Modeling face and understanding its state changes throughout a conversation is critical to the study of maintenance of basic human needs in and through interaction. Grounded in the politeness theory of Brown and Levinson (1978), we propose a generalized framework for modeling face acts in persuasion conversations, resulting in a reliable coding manual, an annotated corpus, and computational models. The framework reveals insights about differences in face act utilization between asymmetric roles in persuasion conversations. Using computational models, we are able to successfully identify face acts as well as predict a key conversational outcome (e.g. donation success). Finally, we model a latent representation of the conversational state to analyze the impact of predicted face acts on the probability of a positive conversational outcome and observe several correlations that corroborate previous findings.
