New Frontiers in Cognitive Situation Management with Neuroergonomics

Cognitive Situation Management (CogSIMA) is the multi-disciplinary research area on complex heterogeneous dynamical systems – of interacting humans, machines, computer agents and/or networks – whose individual and/or collective behavior depends on their situation awareness. Neuroergonomics combines many interdisciplinary concepts of interest in CogSIMA through the research aims of understanding and then utilizing the knowledge of how brain activity affects and reflects cognition in natural settings. A big potential for CogSIMA is adding cognitive, perceptual and reasoning processes to the design and utilization of complex human-machine systems, by informing the system about human using biomedical sensors. This could enhance overall human-machine system performance, improve user experience and potentially afford humans better situation awareness including the perception of the elements in the environment, comprehension of the situation, and projection of future status.

In this Research Topic, we welcome papers that explore how neuroergonomics can add theoretical, experimental, and applied approaches, methods and tools, and new measurements that support better perceiving, understanding, anticipating, reasoning, and reacting to a situation.

CogSIMA started in sensor fusion and saw the need to add all the cognitive processing needed to understand and then act upon a situation.

This included supported both human cognitive processing as well as machine intelligence. Over time the field added an emphasis on the coordination of a human team with sensor and computational support. Hence, we welcome papers showing how neural and physiological correlates, behavioral performance, and approaches are altered by human operators of complex machines and teams of human and autonomous systems in the field. Currently, with after-action reviews and such, we are dependent upon self-reports on what someone saw, what was noticed, especially, what was attended to, what was reacted to, and how much one felt in sync with the rest of the team and the available artificial sensors. How might neuroergonomics enrich all of these areas?

Article types and fees

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Case Report
• Clinical Trial
• Community Case Study
• Conceptual Analysis
• Data Report
• Editorial
• FAIR² Data
• FAIR² DATA Direct Submission
• ... View all formats

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Article types

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Case Report
• Clinical Trial
• Community Case Study
• Conceptual Analysis
• Data Report
• Editorial
• FAIR² Data
• FAIR² DATA Direct Submission
• General Commentary
• Hypothesis and Theory
• Methods
• Mini Review
• Opinion
• Original Research
• Perspective
• Review
• Study Protocol
• Systematic Review
• Technology and Code

Keywords: Wearable computing systems, Self-aware adaptive systems, Individualized medicine, Mobile neurotechnology, Human-machine teaming

Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.