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Applied Cognitive Science Laboratory at the Pennsylvania State University

机译:宾夕法尼亚州立大学应用认知科学实验室

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The Applied Cognitive Science Laboratory of the School of Information Sciences and Technology at the Pennsylvania State University is situated in the town of State College, PA, just about halfway between Pittsburgh (Carnegie-Mellon University) and Philadelphia. The head of laboratory is prof. Frank Ritter, who is interested in cognitive science and in its applications to human-computer interaction. The focus of research in this lab is to understand human cognition by modeling its output and process, creating models that can explain its behavior, testing human-computer interfaces, and serving as colleagues and opponents in simulations. The projects are focused on models that learn, ranging from now to provide them access to interfaces to analyzing the effects of moderators (e.g., caffeine) on cognition. Projects have also been created to simulate children's cognitive development. Therefore, behind this general purpose, the research objectives are: (1) creating models that more accurately reflect human behavior, (2) supporting models to interact with a wider range of interfaces and more accurately (St. Amant et al. 2004), (3) summarizing human behavior in reviews through the gathering of additional data to support model building, (4) developing models that are easy to understand and that are reusable, and (5) building modeling tools. In this paper, the authors show the tools used in ACS Lab in order to summarize the benefits in their application and to point out how they might be reused. Further information is available at http://acs.ist.psu.edu/.
机译:宾夕法尼亚州立大学信息科学与技术学院应用认知科学实验室位于宾夕法尼亚州州立大学城,位于匹兹堡(卡内基-梅隆大学)和费城之间约一半的位置。实验室负责人是教授。弗兰克·里特(Frank Ritter)对认知科学及其在人机交互中的应用感兴趣。本实验室的研究重点是通过对人类的认知进行建模,模拟其输出和过程,创建可以解释其行为的模型,测试人机界面以及在模拟中充当同事和反对者,从而理解人类的认知。这些项目侧重于学习模型,从现在开始,提供给他们访问界面的机会,并分析主持人(例如咖啡因)对认知的影响。还创建了一些项目来模拟儿童的认知发展。因此,在这个通用目的的背后,研究目标是:(1)创建更准确地反映人类行为的模型;(2)支持模型以与更广泛的界面进行交互且更准确地进行交互(St. Amant等人,2004), (3)通过收集支持模型构建的其他数据来总结评论中的人类行为;(4)开发易于理解且可重用的模型;(5)构建建模工具。在本文中,作者展示了ACS Lab中使用的工具,以总结其应用程序的好处并指出如何重用它们。有关更多信息,请访问http://acs.ist.psu.edu/。

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