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Media naturalness and compensatory encoding: The burden of electronic media obstacles is on senders

机译:媒体自然性和补偿性编码:电子媒体障碍的重担在发送者身上

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摘要

Compensatory adaptation theory makes two key predictions. On one hand, the theory predicts that electronic communication media in general will pose obstacles to complex communication between collaborators, when compared with the face-to-face medium, which will lead to an increase in cognitive effort and communication ambiguity. On the other hand, the theory also predicts that those obstacles will be met with compensatory adaptation, whereby electronic communication users will attempt to make up for the obstacles by modifying their communication behavior. This will in turn lead to a reduction in communication fluency. This study extends compensatory adaptation theory by also predicting that the burden of compensating for electronic communication media obstacles will fall primarily on those who attempt to convey information, as opposed to those who receive it. Those predictions are tested through an experiment involving 230 students, whose data are analyzed through nonparametric tests. All predictions are supported by the data analysis results. The use of a Web-based quasi-synchronous electronic communication medium, when compared with the face-to-face medium, increased perceived cognitive effort by approximately 12% and perceived communication ambiguity by about 19%. Communication fluency was reduced by about 90%. Perceived compensatory encoding effort (i.e., the effort spent by information givers) was increased by approximately 26%, and perceived compensatory decoding effort (i.e., the information receivers' effort) by a statistically insignificant percentage.
机译:补偿适应理论做出了两个关键的预测。一方面,该理论预测,与面对面媒体相比,一般而言,电子通信媒体将对协作者之间的复杂通信构成障碍,这将导致认知工作和通信歧义性的增加。另一方面,该理论还预测通过补偿适应将克服这些障碍,从而电子通信用户将尝试通过修改其通信行为来弥补这些障碍。反过来,这将导致沟通流畅度的降低。这项研究还通过预测补偿电子通信媒体障碍的责任将主要落在那些试图传达信息的人而不是接受信息的人身上,从而扩展了补偿适应理论。这些预测是通过230名学生的实验进行测试的,这些学生的数据通过非参数测试进行了分析。数据分析结果支持所有预测。与面对面的媒体相比,基于Web的准同步电子通信媒体的使用将感知的认知努力提高了约12%,感知的通信歧义性提高了约19%。沟通流畅度降低了约90%。感知的补偿编码工作量(即,信息提供者花费的工作量)增加了约26%,感知的补偿解码工作量(即,信息接收者的工作量)在统计上不显着。

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