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Conceptualizing Audio Message Complexity as Available Processing Resources

机译：将音频消息复杂性概念化为可用的处理资源

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摘要

This article describes and validates a human-centric measure of audio message complexity. Messages are coded in terms of the level of cognitive resources that would be automatically elicited and required to process the message. Indicators of automatic resources elicited come from counting the orienting eliciting audio content changes in radio messages (Acc). The indicator of resources required comes from counting the dimensions of audio information introduced (Aii) by these content changes. The combination produces an indicator of available resources that serves as the complexity variable. Messages high in available resources are low in complexity; messages low in available resources are high in complexity. Two experiments are presented exploring the empirical validity of the measures as both local (moment to moment) and global (message level) operationalizations of complexity. Results suggest the measures have high construct validity.
机译：本文介绍并验证了以人为中心的音频消息复杂性度量。消息是根据认知资源的级别进行编码的，认知资源的级别将被自动引发并需要处理该消息。自动资源的指示符来自对无线电消息（Acc）中引起音频内容变化的定向计数。所需资源的指标来自对这些内容更改所引入的音频信息的维度（Aii）进行计数。组合产生了可用资源的指标，该指标用作复杂性变量。可用资源多的消息复杂度低；可用资源少的消息复杂度高。提出了两个实验，探讨了这些措施在复杂性的局部（瞬间到瞬间）和全局（消息级别）操作化方面的经验有效性。结果表明该措施具有较高的构建效度。

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