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Applications for Cognitive User Modeling

机译:认知用户建模的应用

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Usability of complex dynamic human computer interfaces can be evaluated by cognitive modeling to investigate cognitive processes and their underlying structures. Even though the prediction of human behavior can help to detect errors in the interaction design and cognitive demands of the future user the method is not widely applied. The time-consuming transformation of a problem "in the world" into a "computational model" and the lack of fine-grained simulation data analysis are mainly responsible for this. Having realized these drawbacks we developed HTAmap and SimTrA to simplify the development and analysis of cognitive models. HTAmap, a high-level framework for cognitive modeling, aims to reduce the modeling effort. SimTrA supports the analysis of cognitive model data on an overall and microstructure level and enables the comparison of simulated data with empirical data. This paper describes both concepts and shows their practicability on an example in the domain of process control.
机译:复杂动态人机接口的可用性可以通过认知建模来调查认知过程及其潜在结构来评估。即使对人类行为的预测有助于检测在未来用户的交互设计和认知需求中的错误,该方法没有广泛应用。问题“在世界上”的耗时变化为“计算模型”和缺乏细粒度的模拟数据分析主要是负责这一点。实现了这些缺点我们开发了HTAMAP和SIMTRA,以简化认知模型的开发和分析。 HTAMAP是一种高级认知建模框架,旨在减少建模努力。 SIMTRA支持对整体和微观结构级别的认知模型数据的分析,并实现了与经验数据的模拟数据的比较。本文介绍了两个概念,并在过程控制领域的示例上显示了它们的实用性。

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