Beyond the Individual: The Dynamic Features of Distributed Affect

T. J. Scott, D. Perry, Alison Williams, Cecilia R. Aragon
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Abstract

Affect has been identified as an important component of the communication practices of distributed teams. Our emerging theory of distributed affect moves beyond the individual as the primary unit of analysis, focusing instead on affect as a dynamic group process. Drawing upon a data set of over four years of chat logs from a distributed scientific collaboration relying on text-based communication to coordinate their work, we expand upon the framework of distributed affect and characterize the concept through five features: transference, resonance, pervasiveness, persistence, and representation. These features provide a set of descriptive components for interactions between people and their environment, their tools, and their present and historical references as part of a dynamical system of affect. We examine specific events in the group's history which highlight the dynamic way affect is operating in this context, and how it influences factors such as creative problem solving. The framework we describe offers a unique analytic lens for the study of computer-supported group work, and a useful tool for framing questions about the continued study of affect in collaborative teams.
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超越个体:分布式情感的动态特征
影响已经被确定为分布式团队沟通实践的重要组成部分。我们新兴的分布式情感理论超越了个体作为分析的主要单位,而是将情感作为一个动态的群体过程来关注。基于四年多来依赖于基于文本的交流来协调工作的分布式科学协作的聊天日志数据集,我们扩展了分布式情感的框架,并通过五个特征来描述这个概念:移情、共鸣、普遍性、持久性和代表性。这些特征为人与环境、工具、当前和历史参考之间的相互作用提供了一组描述性组件,作为情感动态系统的一部分。我们研究了集团历史上的具体事件,这些事件突出了在这种背景下影响的动态方式,以及它如何影响创造性解决问题等因素。我们所描述的框架为研究计算机支持的小组工作提供了一个独特的分析视角,也是一个有用的工具,可以为协作团队中情感的持续研究提供框架问题。
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