Steven Bressler, Florida Atlantic University, USA
Robert Kozma, University of Memphis, USA
Minho Lee, Kyungpook National University, Korea (South)
Cognitive Engineering is an interdisciplinary approach to the development of principles, methods, tools and techniques to guide the design of computerized systems intended to learn from and support of human cognitive performance. Cognitive Engineering draws on the disciplines of cognitive science, computer science, systems engineering, human computer interaction, human factors, and related fields. The goal of Cognitive Engineering is to develop systems that are easy to learn, easy to use, and lead to improved human-computer system performance.
Cognitive engineering has emerged in the past decades in response to the proliferation of computers in everyday life. Safety-critical systems became more complex and increasingly integrated with advanced computer technology; thus novel design principles were needed to ensure that teams of human experts could operate computer systems safely and efficiently. Cognitive engineering helps to develop human-friendly and reliable computer systems by explicitly considering human processing characteristics in the context of the computer-assisted tasks. In recent years, significant progress has been made in cognitive engineering by focusing on how people actually interact with complex technical systems, including advanced human-computer interfaces. As a result, cognitive engineering has become a recognized interdisciplinary field at the interface of cognitive science, computer science and engineering.
The special issue of Neural Networks on “Advances in Cognitive Engineering Using Neural Networks” aims at bringing together various research topics related to this field, discussing the present state-of-the-art, and outlining directions for future developments. We invite submissions on the most recent developments in Cognitive Engineering systems, methods, and models using neural networks, as well as various applications to real world tasks. We also welcome survey and overview papers pertaining to Cognitive Engineering.
Topics of interest include but are not limited to:
• Cognition in engineered systems
• Cognitive engineering methods
• Cognitive engineering models
• Cognitive engineering and causality
• Attention, selective attention
• Intention understanding
• Decision making and prediction
• Awareness computing
• Emotion recognition
• Modeling creativity
• Modeling mental constructs
• Team cognition
• Human-Computer Interfaces
• Embodied cognitive engineering
• Operator behavior
• Emergency response systems
Prospective authors should follow standard author instructions for Neural Networks and submit their manuscripts online at http://ees.elsevier.com/neunet/. During the submission process, there will be steps to designate the submission to this special issue.
Submission deadline: Aug 15, 2016
Notification of Acceptance: Oct 15, 2016
Final manuscripts due: Jan 15, 2017