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Record Nr. |
UNISA996465345303316 |
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Autore |
Yuan Haiyue |
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Titolo |
Cognitive modeling for automated human performance evaluation at scale / / Haiyue Yuan, Shujun Li, Patrice Rusconi |
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Pubbl/distr/stampa |
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Cham, Switzerland : , : Springer, , [2020] |
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©2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (XI, 97 p. 56 illus.) |
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Collana |
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SpringerBriefs in Human-Computer Interaction |
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Disciplina |
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Soggetti |
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Human-computer interaction - Evaluation - Mathematical models |
Eye tracking |
Cognitive psychology |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Introduction -- Cognitive Approaches to Human Computer Interaction -- State of the Art of Cognitive Modeling Software Tools -- Integration of Behavioral Data -- Large-scale Human Performance Modeling Framework -- Example Applications of CogTool+ -- Future Research Directions. . |
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Sommario/riassunto |
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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. |
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