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Applications for Cognitive User Modeling

机译:认知用户建模的应用

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摘要

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 finegrained 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:复杂动态人机界面的可用性可以通过认知建模来评估认知过程及其潜在结构。即使人类行为的预测可以帮助检测交互设计中的错误以及未来用户的认知需求,该方法仍未得到广泛应用。造成这种情况的主要原因是,将“世界上”的问题耗时地转换为“计算模型”,而缺乏细粒度的仿真数据分析。认识到这些缺点后,我们开发了HTAmap和SimTrA来简化认知模型的开发和分析。 HTAmap是用于认知建模的高级框架,旨在减少建模工作。 SimTrA支持在整体和微观结构水平上对认知模型数据进行分析,并使模拟数据与经验数据进行比较。本文描述了这两个概念,并在过程控制领域的示例中展示了它们的实用性。

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