话语分裂在基于文本的CMC中的促进作用

Marek Placiński
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引用次数: 0

摘要

本文主要研究了回合结构在基于文本的准同步计算机中介对话中的作用。先前的研究发现,在这种类型的交流中,互动者以两种方式提交他们的信息:要么是一条长消息,要么是一系列较短的帖子。我们假设后一种策略——被称为话语分裂——在轮流(开始修理和保持地板)和句子处理(预测信息内容和降低熵)方面促进了在线交流。为了评估这一假设,进行了一项实验,让天真的参与者与一位联盟作家互动。我们发现,虽然交际成功并不取决于参与者被分配到的条件,但平均而言,同谋者发出分裂话语的对话更短,并且需要更少的单词来表达相同的意图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The facilitatory role of utterance splitting in text-based CMC
This paper focuses on the role of the structure of turns in quasi-synchronous text-based computer mediated-conversation. Prior research has found that interactants in this type of communication submit their messages in two ways: either as a long single message or as a sequence of shorter postings. We hypothesize that the latter strategy – called utterance splitting – facilitates communicating online both in terms of turn-taking (initiation of repairs and holding the floor) and sentence processing (predicting informational content and lowering entropy). To evaluate the hypothesis, an experiment in which naive participants interacted with a confederate writer was conducted. We found that although communicative success did not depend on the condition to which the participants were assigned, the conversations in which the confederate sent split utterances were, on average, shorter and re-quired less words to communicate the same intention.
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