Understanding and Measuring Cognitive Workload: A Coordinated Multidisciplinary Approach

Understanding and Measuring Cognitive Workload: A Coordinated Multidisciplinary Approach
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理解和测量认知工作量：协调的多学科方法

DOI：
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发表时间：
2003
期刊：
影响因子：
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通讯作者：
R. Pozos
R. Pozos
中科院分区：
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文献类型：
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作者：
D. Boehm;Wayne D. Gray;L. Adelman;Sandra Marshall;R. Pozos

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摘要：这项研究计划旨在开发高度相关的认知工作量的预测性(基于认知建模)和描述性(基于生理数据)测量。此类措施必须在理论上站稳脚跟，并进行经验验证。我们在这个项目中的主要工程目标是：(1)如何应用预测性测量(认知建模)来指导决策任务的新接口和通信协议的设计，以及(2)如何使用描述性测量(生理)来测量实时任务执行期间的工作量。
Abstract : This research program was designed to develop predictive (based on cognitive modeling) and descriptive (based on physiological data) measures of cognitive workload that are highly correlated. Such measures must be theoretically grounded and empirically verified. Our main engineering goals in this project were to show: (1) how the predictive measures (cognitive modeling) could be applied to guide the design of novel interfaces and communication protocols for decision making tasks, and (2) how the descriptive measures (physiological) could be used to measure workload during real-time task performance.