Analyzing the flow of knowledge in computer mediated teams
Analyzing the flow of knowledge in computer mediated teams
复制标题
分析计算机中介团队中的知识流
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
Marcus A. Drescher
中科院分区：
文献类型：
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作者：
J. Introne;Marcus A. Drescher
在本文中，我们对计算机中介团队的沟通记录进行了分析，说明了不同类型的决策支持如何影响协作知识构建。我们的分析引入了一种称为主题演变分析（TEvA）的算法技术，该技术跟踪会话中的单词集群，并说明这些集群如何随着时间的推移而变化和合并。这种分析结合了群体动力学的测量，以区分使用不同类型的决策支持的团队。我们的分析提供的证据表明，某些类型的决策支持提高了团队的表面理性，但在成本的协作知识建设。当简单地衡量团队决策绩效时，这一结果并不明显。我们使用这一发现来激励的效用和重要性的方法时，评估技术的影响，协作知识处理。
In this article, we present an analysis of communication transcripts from computer-mediated teams that illustrates how different kinds of decision support impact collaborative knowledge construction. Our analysis introduces an algorithmic technique called Topic Evolution Analysis (TEvA), which tracks clusters of words in conversation, and illustrates how these clusters change and merge over time. This analysis is combined with measurements of group dynamics to distinguish between teams using different kinds of decision support. Our analysis offers evidence that some kinds of decision support improve the apparent rationality of a team, but at the cost of collaborative knowledge construction. This result is not apparent when simply measuring team decision performance. We use this finding to motivate the utility and importance of the approach when assessing the impact of technology on collaborative knowledge processing.