Time for Laughter
Time for Laughter
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欢笑时间
DOI：
10.1016/j.knosys.2014.04.031
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发表时间：
2014
影响因子：
8.8
通讯作者：
Carl Vogel
中科院分区：
文献类型：
--
作者：
Francesca Bonin;Nick Campbell;Carl Vogel
社交信号是会话交互不可或缺的一部分，并且构成了多方通信的社交动态的很大一部分。此外，社交信号也可能在话语结构中发挥作用。我们关注笑声，探索笑声在多大程度上可以表明对话的结构展开，以及笑声是否可以用于发出话题变化的信号。最近的研究支持了这一假设。我们从 TableTalk 语料库和 AMI 语料库中可见的两个不同角度（时间分布和内容分布）研究笑声和主题变化之间的关系。对这两个语料库的研究得出了一致的结果。与话题改变之前相比，话题改变后很快就不太可能笑出声来。在这两项研究中，我们发现在话题转换时单独笑的频率明显高于在话题连续时的频率。这与之前有关共享笑声与单独笑声的社会动态的研究相矛盾，该研究认为单独笑声是主题延续的信号。我们得出的结论是，笑具有可量化的话语功能以及社交信号能力。
Social signals are integral to conversational interaction and constitute a large part of the social dynamics of multiparty communication. Moreover, social signals may also have a function in discourse structure. We focus on laughter, exploring the extent to which laughter can be shown to signal the structural unfolding of conversation and whether laughter may be used in the signaling of topic changes. Recent research supports this hypothesis. We investigate the relation between laughter and topic changes from two different points of view (temporal distribution and content distribution) as visible in the TableTalk corpus and also in the AMI corpus. Consistent results emerge from studies of these two corpora. Laughter is less likely very soon after a topic change than it is before a topic change. In both studies, we find solo laughter significantly more frequent in times of topic transition than in times of topic continuity. This contradicts previous research about the social dynamics of shared versus solo laughter considering solo laughs as signals of topic continuation. We conclude that laughter has quantifiable discourse functionality concomitant with social signaling capacity.