Smart Thinking:Macrocognitive models, skills, and supportSubmissions are invited for a special issue of the Journal of Cognitive Engineering and Decision Making (JCEDM) on Smart Thinking: Macrocognitive models, skills, and support.
The first Naturalistic Decision Making (NDM) conference was held in 1989, bringing together a diverse set of researchers working on related problems. From that small group, the NDM community of practice has grown worldwide. NDM methods and models have extended well beyond the 1988 study of firefighters to a broad range of domains. In fact, NDM professionals are often invited to contribute to the study of emerging problems with significant implications for safety, productivity, and innovation.
NDM approaches are characterized by in-depth descriptions of how professionals engage in cognitive work in real-world settings. The special issue will include articles that highlight NDM approaches to macrocognitive work systems characterized by contextual uncertainty and adaptation, and the need to cope with complexity.
Special issue editors Jan Maarten Schraagen and Hayley Davison Reynolds invite submissions dealing with any of these topics including, but not limited to:
Together, the collection of papers included in this special issue should provide an in-depth look at how to foster smart thinking in an increasingly technology-dominated world.
Submission Deadline: January 1, 2020
Manuscripts will be subject to the standard JCEDM review prior to acceptance. Author instructions can be found at: https://www.hfes.org/publications/periodicals/journal-of-cognitive-engineering-and-decision-making/journal-of-cognitive-engineering-and-decision-makinginformation-for-authors Manuscripts should be submitted electronically via http://mc.manuscriptcentral.com/jcedm. Please use the format prescribed in the APA Publication Manual (6th edition).
This special issue is co-edited by Jan Maarten Schraagen and Hayley Davison Reynolds.
Jan Maarten Schraagen Hayley J. Davison Reynolds
TNO, Soesterberg, The Netherlands MIT Lincoln Laboratory, Lexington, MA, USA
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