Naturalistic decision making (NDM) is concerned with the study of how people make decisions in complex real-world settings that can include dynamic, uncertain and continually changing conditions, and can require real-time decisions in urgent situations with significant consequences. NDM topics also include studies of expert reasoning, sensemaking, and cognitive task analysis to design technologies and learning experiences for supporting individual and team performance in complex cognitive work systems. The epistemic development of NDM-related areas continues to grow and advance our understanding of complex decision-making in action.
The growing evidence base of epistemic NDM inquiry warrants that the impact of this fields innovative and rigorous task-based methods are documented for use and adoption by a larger audience of academics and practitioners. Traditionally NDM research has focussed upon high-reliability contexts and participants working in areas such as the military on land, air and sea, health and emergency services, challenging sporting decisions, intelligence, weather forecasting, fire fighting, trading, etc. often working with deep uncertainty and with complex problems completed by individuals and teams working within organizational constraints.
Whilst the NDM field is extremely well known within the community of human factors and cognitive psychology scholars across the globe, its usefulness has received less attention across all organizational psychology-related contexts. The time is now ripe to share good research practice stories and insights, and add value for practitioners and academic multi-disciplinary researchers across a more diverse range of organizations, to utilize the findings from NDM.
This sharing of the value of the epistemic NDM knowledge we suggest, offers valuable methods for all organizations who aim to elicit, document, and share expert knowledge of professionals at work as individuals.
In addition to authors developing papers from the forthcoming NDM Association conference see –https://naturalisticdecisionmaking.org/conference/
We are interested in i) original research, II) perspective, and III) case articles that focus on addressing one or more of the following issues:
• Decision-making under complex constraints, including stress and uncertainty
• Macrocognition in the workplace
• Strategies to support rapid decision-making and enhance cognitive skills
• Studies of expert and adaptive performance
• NDM applications in systems engineering, information visualization, and user interfaces design
• Theories of cognitive performance derived from or tested in naturalistic settings
• Methods of naturalistic inquiry
Any style of paper should clearly state how the results of the work may or may not be adapted to different organizational contexts to accelerate/impact expertise.
Naturalistic decision making (NDM) is concerned with the study of how people make decisions in complex real-world settings that can include dynamic, uncertain and continually changing conditions, and can require real-time decisions in urgent situations with significant consequences. NDM topics also include studies of expert reasoning, sensemaking, and cognitive task analysis to design technologies and learning experiences for supporting individual and team performance in complex cognitive work systems. The epistemic development of NDM-related areas continues to grow and advance our understanding of complex decision-making in action.
The growing evidence base of epistemic NDM inquiry warrants that the impact of this fields innovative and rigorous task-based methods are documented for use and adoption by a larger audience of academics and practitioners. Traditionally NDM research has focussed upon high-reliability contexts and participants working in areas such as the military on land, air and sea, health and emergency services, challenging sporting decisions, intelligence, weather forecasting, fire fighting, trading, etc. often working with deep uncertainty and with complex problems completed by individuals and teams working within organizational constraints.
Whilst the NDM field is extremely well known within the community of human factors and cognitive psychology scholars across the globe, its usefulness has received less attention across all organizational psychology-related contexts. The time is now ripe to share good research practice stories and insights, and add value for practitioners and academic multi-disciplinary researchers across a more diverse range of organizations, to utilize the findings from NDM.
This sharing of the value of the epistemic NDM knowledge we suggest, offers valuable methods for all organizations who aim to elicit, document, and share expert knowledge of professionals at work as individuals.
In addition to authors developing papers from the forthcoming NDM Association conference see –https://naturalisticdecisionmaking.org/conference/
We are interested in i) original research, II) perspective, and III) case articles that focus on addressing one or more of the following issues:
• Decision-making under complex constraints, including stress and uncertainty
• Macrocognition in the workplace
• Strategies to support rapid decision-making and enhance cognitive skills
• Studies of expert and adaptive performance
• NDM applications in systems engineering, information visualization, and user interfaces design
• Theories of cognitive performance derived from or tested in naturalistic settings
• Methods of naturalistic inquiry
Any style of paper should clearly state how the results of the work may or may not be adapted to different organizational contexts to accelerate/impact expertise.
