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The Role of Communication Complexity in Adaptive Contextualization

机译:沟通复杂性在自适应情境化中的作用

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Research problem: Adding contextual information to a core message has been shown to be critical in improving communication quality, especially in computer mediated communication. This paper models how people contextualize messages in the face of changing communication complexity. Research question: Can changes in communication complexity that occur during the communication process explain and predict contextualization? Literature review: Theories of human communication and studies of computer supported collaboration suggest that communication complexity reflects potentially problematic conditions resulting from 1) the difference in perspective and context held by the collaborators; 2) the incompatibility between the message representation and the way it is interpreted and used by the receiver; and 3) the intensity of information exchanged between communicators. We use this definition as a basis of for developing a measure of cognitive communication complexity. The literature further suggests that higher communication complexity induces higher contextualization. Methodology: First, we conducted a pilot study to develop and validate measures of communication complexity. Second, we conducted a laboratory experiment, in which 258 participants working in pairs collaborated on a sixteen-step assembly task. They used a tailored system that structured each message as core (the essence of the message) and context (additional information that explains the core and the sender's perspective). We used unbalanced panel data analysis to examine the repeated measures of contextualization and communication complexity associated with each step of the task. Results and discussion: We found that collaborators respond to changes in communication complexity at the expense of higher collaborative effort. We offer a cost-benefit framework in which, at the step level, people contextualize to reduce the communication complexity, and at the task level, they additionally consider the impact - f contextualization on task performance. The main limitation of this study was the need to structure the communication between collaborators, to control and measure contextualization. Future research can adapt and extend our measure of communication complexity to less structured communication.
机译:研究问题:在核心消息中添加上下文信息对于提高通信质量(特别是在计算机介导的通信中)至关重要。本文模拟了人们如何面对不断变化的通信复杂性对消息进行上下文化。研究问题:在沟通过程中发生的沟通复杂性变化能否解释并预测情境化?文献综述:人类交流理论和计算机支持的合作研究表明,交流的复杂性反映了以下潜在问题:1)合作者所持观点和背景的差异; 2)消息表示形式与接收方解释和使用消息方式之间的不兼容性; 3)传播者之间交流的信息强度。我们使用此定义作为制定认知交流复杂性度量的基础。文献进一步表明,较高的沟通复杂性会导致较高的语境化。方法:首先,我们进行了一项初步研究,以开发和验证通信复杂性的度量。其次,我们进行了一项实验室实验,其中258名成对工作的参与者协作完成了16步组装任务。他们使用了量身定制的系统,该系统将每条消息分别构造为核心(消息的本质)和上下文(上下文中的其他信息,以解释核心和发件人的观点)。我们使用不平衡的面板数据分析来检查与任务的每个步骤相关联的情境化和沟通复杂性的重复测量。结果与讨论:我们发现协作者以较高的协作努力为代价来应对通信复杂性的变化。我们提供了一个成本效益框架,在该框架中,人们在步骤级别进行了情境化以降低沟通的复杂性,而在任务级别,他们还考虑了情境化对任务绩效的影响。这项研究的主要局限性是需要构建协作者之间的交流,以控制和衡量情境。未来的研究可以将我们对通信复杂性的衡量标准进行调整,并将其扩展到结构较简单的通信中。

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