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Titlebook: Cognitive Modeling for Automated Human Performance Evaluation at Scale; Haiyue Yuan,Shujun Li,Patrice Rusconi Book 2020 Springer Nature Sw

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發(fā)表于 2025-3-21 19:10:31 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Cognitive Modeling for Automated Human Performance Evaluation at Scale
編輯Haiyue Yuan,Shujun Li,Patrice Rusconi
視頻videohttp://file.papertrans.cn/230/229063/229063.mp4
概述It presents a systematic review of state-of-the-art cognitive modeling and simulation software tools and their applications.It provides examples of how to integrate cognitive psychology and computer s
叢書(shū)名稱Human–Computer Interaction Series
圖書(shū)封面Titlebook: Cognitive Modeling for Automated Human Performance Evaluation at Scale; Haiyue Yuan,Shujun Li,Patrice Rusconi Book 2020 Springer Nature Sw
描述.Cognitive models and software tools have been widely used for both research and commercial purposes. Although they have proved very useful, there are some limitations preventing large-scale modeling and simulation tasks to be carried out efficiently and effectively. In this book, we aim to provide readers with a systematic overview of state-of-the-art cognitive modeling software tools and applications and an introduction to a new software framework for facilitating large-scale modeling and simulation of human-performance tasks.?.The authors first review cognitive modeling theories and then present an overview of state-of-the-art software tools for cognitive modeling and simulation. Finally, the book focuses on the new software framework and a research prototype called CogTool+, including how to incorporate behavioral data such as eye-tracking data in modeling and simulation tasks. Typical applications of CogTool+ in HCI and cyber security are given to demonstrate its usefulness..
出版日期Book 2020
關(guān)鍵詞Cognitive Modeling; Cognitive Modeling Software/Tools; Human Computer-Interaction; Eye Tracking; CyberSe
版次1
doihttps://doi.org/10.1007/978-3-030-45704-4
isbn_softcover978-3-030-45703-7
isbn_ebook978-3-030-45704-4Series ISSN 1571-5035 Series E-ISSN 2524-4477
issn_series 1571-5035
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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Introduction,software prototype with example use cases..In the first chapter of the book, we firstly present a brief overview of cognitive modeling and human performance evaluation with potential challenges and issues, followed by a summary of other chapters of the book. This chapter ends with listing the main o
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Review of Cognitive Modeling Software Tools,isting tools, we mainly introduce CogTool, SANLab-CM, and Cogulator in this chapter. The main reason is that they are well maintained open source projects with a considerable size of user base. In addition, this chapter lists some examples of applying cognitive models and relevant software tools in
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Integration of Behavioral Data,eye-tracking meets cognitive modeling: applications to cyber security systems. In: Human Aspects of Information Security, Privacy and Trust: 5th International Conference, HAS 2017, Held as Part of HCI International 2017, Vancouver, 9–14 July 2017, Proceedings. Lecture notes in computer science, vol.
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發(fā)表于 2025-3-22 21:04:08 | 只看該作者
Large-Scale Human Performance Modeling Framework,in Computing Systems, CHI’04, pp 455–462. ACM, New York (2004). .) (see Chap. .) following the proposed framework (part of this chapter will appear in a full paper which is currently under review. (Yuan, H., Li, S., Rusconi, P., “.”.)).
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Self-Management in Chronic Illnesseveloped to cover aspects of cognitive science, and vice versa. The relevance of the cognitive approach to HCI can be seen in the successful use of cognitive models in the HCI community to evaluate designs, assist users’ interactions with computers, and substitute users in simulations (Ritter et al
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