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Visualizing Conversational Structure: Effects of Conversation-Analytical Knowledge and Social Media Experience

机译:可视化对话结构:对话分析知识和社交媒体体验的影响

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This paper explores how people understand and visualize externally a synchronous multi-threaded four-party conversation that was audio-recorded, and investigates whether conversation-analytical knowledge and/or digital skills with social media tools have an effect on the nature and complexity of the conversational structure depicted in the representation constructed. An experiment has been performed, in which 60 participants took part. Their task was to listen to a conversation, and to display it on a magnetic whiteboard in their own way. Predesigned conversation's utterances and pictures of participants were provided, as well as markers of different colors. Both visualization process and product were coded. Coding of process included production time and relistening behavior. The product was analyzed with respect to the ordering of utterances. We used four characterizations of ordering: by chronology, by reply-to relationships, by topic, and by conversational participant. Production time and relistening behavior turn out to have varying effects on products. Results of the representations' analysis suggest that conversation-analytical knowledge or experience with a variety of social media influence the type and the number of ordering principles used.
机译:本文探讨了人们如何从外部理解和可视化已同步录制的多线程同步多方四方对话,并探讨了使用社交媒体工具进行的对话分析知识和/或数字技能是否会对社交媒体的性质和复杂性产生影响会话结构在表示形式中进行了构造。已经进行了一项实验,有60名参与者参加。他们的任务是听对话,并以自己的方式将其显示在磁性白板上。提供了预先设计的对话的话语和参与者的图片,以及不同颜色的标记。可视化过程和产品均已编码。过程的编码包括生产时间和重听行为。对产品的发声顺序进行了分析。我们使用了排序的四个特征:按时间顺序,按回复关系,按主题和按对话参与者。生产时间和重听行为对产品的影响不同。表示的分析结果表明,使用各种社交媒体进行的会话分析知识或经验会影响所使用的排序原则的类型和数量。

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