论文标题
定义和量化自发互动中的对话质量
Defining and Quantifying Conversation Quality in Spontaneous Interactions
论文作者
论文摘要
一般而言，社交互动是多方面的，并且存在着一系列影响它们的因素和事件。在本文中，我们以对个人经历的整体观点进行了量化社交互动，尤其是专注于非任务指导的自发互动。为了实现这一目标，我们设计了一种新颖的感知度量，即感知到的对话质量，该质量旨在通过考虑个人经验的几个社会维方面来量化自发互动。 为了进一步定量研究自发的相互作用，我们设计了一份问卷，该问卷衡量了个人和组级别的对话质量。使用问卷，我们在使用幼稚注释者的公开数据集中收集了对对话质量的感知注释。对分布进行的分析结果和通道间的可及性表明，在对话质量较低的情况下，幼稚的注释者往往少于同意，尤其是在注释小组级对话质量的同时。
Social interactions in general are multifaceted and there exists a wide set of factors and events that influence them. In this paper, we quantify social interactions with a holistic viewpoint on individual experiences, particularly focusing on non-task-directed spontaneous interactions. To achieve this, we design a novel perceived measure, the perceived Conversation Quality, which intends to quantify spontaneous interactions by accounting for several socio-dimensional aspects of individual experiences. To further quantitatively study spontaneous interactions, we devise a questionnaire which measures the perceived Conversation Quality, at both the individual- and at the group- level. Using the questionnaire, we collected perceived annotations for conversation quality in a publicly available dataset using naive annotators. The results of the analysis performed on the distribution and the inter-annotator agreeability shows that naive annotators tend to agree less in cases of low conversation quality samples, especially while annotating for group-level conversation quality.
