Cognitive Modeling for Automated Human Performance Evaluation at Scale [electronic resource]

• Tác giả: Shujun Li, Patrice Rusconi, Haiyue Yuan
• ISBN-13: 978-3030457044
• Ký hiệu phân loại: 004.019 Psychological principles
• Thông tin xuất bản: Cham : Springer International Publishing : Imprint: Springer, 2020.
• Mô tả vật lý: XI, 97 p. 56 illus. , online resource.
• Bộ sưu tập: Tài liệu truy cập mở
• ID: 331610
• Chủ đề: 1. Cognitive psychology; 2. Data protection; 3. Human-computer interaction; 4. Software engineering; 5. User interfaces (Computer systems)

Tóm tắt

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.