The quality of daily spontaneous conversations is of importance towards both our well-being as well as the development of interactive social agents. Prior research directly studying the quality of social conversations has operationalized it in narrow terms, associating greater quality to less small talk. Other works taking a broader perspective of interaction experience have indirectly studied quality through one of the several overlapping constructs such as rapport or engagement, in isolation. In this work we bridge this gap by proposing a holistic conceptualization of conversation quality, building upon the collaborative attributes of cooperative conversation floors. Taking a multilevel perspective of conversation, we develop and validate two instruments for perceived conversation quality (PCQ) at the individual and group levels. Specifically, we motivate capturing external raters' gestalt impressions of participant experiences from thin slices of behavior, and collect annotations of PCQ on the publicly available MatchNMingle dataset of in-the-wild mingling conversations. Finally, we present an analysis of behavioral features that are predictive of PCQ. We find that for the conversations in MatchNMingle, raters tend to associate smaller group sizes, equitable speaking turns with fewer interruptions, and time taken for synchronous bodily coordination with higher PCQ.
翻译:日常自发性对话的质量对于我们的福祉以及互动社会代理人的发展都很重要。先前直接研究社会对话质量的研究已经以狭义的方式将社会对话质量转化为现实,将质量与较少的谈话联系起来。从更广泛的互动经验角度探讨的其他工作通过若干相互重叠的结构之一间接地研究了质量,如亲密或单独接触等。在这项工作中,我们建议以合作性对话底层的协作属性为基础,对对话质量进行整体概念化,以此弥补这一差距。从多层次的谈话角度出发,我们制定和验证个人和群体层面被认为对话质量(PCQ)的两种工具。具体地说,我们鼓励从个人和群体层面捕捉到参与者从细小的行为片中体验的外部印象,收集PCQ关于公开存在的MatchNMingle数据集的注释。最后,我们提出对可预报PCQ的行为特征的分析。我们发现,在MatchNtingle的谈话中,评级者倾向于将较小群体规模联系起来,公平发言的中断时间和与更高级的PCQ同步协调的时间。