Insights from the 3rd International Neuroergonomics Conference

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About this Research Topic

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Background

Neuroergonomics is a diverse, interdisciplinary, and rapidly expanding field of research and development that focuses on theoretical and applied studies of brain and human behavior at work. Originally conceptualized by late Raja Parasuraman, neuroergonomics discipline aims to expand our understanding of the neural mechanisms underlying human perceptual, cognitive, and motor functioning with a focus on real-world contexts and natural environments. The major goal of this new field is to use existing and emerging knowledge from the neuroscience and neuroengineering to inform the understanding of human behavior and performance in real life situations, and to enhance human well-being while improving systems performance (Parasuraman, 2003; Karwowski et al., 2003; Parasuraman & Rizzo, 2007; Ayaz and Dehais, 2019).

This Research Topic calls for submissions that cover recent approaches and emerging new directions in neuroergonomics and attempt understanding the brain in the wild, its activity during unrestricted real-world tasks in everyday life contexts, and its relationship to action, behavior, body, and environment.

This Research Topic will include selected submissions from the 2021 International Neuroergonomics conference, which is the third in the International Neuroergonomics Conference series, a biennial event, switching locations between Europe and USA with sequential iterations.

Submissions can be any article type covering advanced neuroscience methods and techniques as well as neuroimaging analysis approaches to investigate brain dynamics in actively behaving participants in field settings. Application of these technologies to investigate cognition (e.g. emotion, perception), to promote mobile brain and body imaging, to design neuroadaptive technology in the real world are especially invited.

Exemplary topics of research and applications in the real world:

• Innovative methodologies and protocols using brain activity monitoring techniques and psychophysiological measurements in realistic operational settings
• Brain computer interfaces and human performance monitoring in ecological conditions
• Affective computing and Neuroadaptive technologies
• Mobile Brain-Body Imaging
• Advances in wearable and portable neuroimaging such as fNIRS/EEG
• Applications of neurostimulation such as tDCS/tACS/tES/rTMS
• Applications of neurofeedback/biofeedback mechanisms
• Advanced signal processing and machine learning techniques
• Perception, cognition including attention, decision making and executive functions
• Motor control and Physical performance
• Learning processes
• Individual differences
• Neuro-inspired system design
• Neural engineering
• Augmented cognition
• Neurocognitive assessment of performance
• Brain-computer interfaces
• Neuroadaptive Technologies
• Aging and neurodevelopmental processes
• Mental health and Neurological conditions
• Virtual reality/ Augmented reality
• Neuro-rehabilitation
• Hyperscanning and physiological synchrony
• Human(s)-robot(s) interactions and trust in automation

Keywords: Applied Human Neuroscience, Neuroengineering, AI, Neuroadaptive technologies, Human Machine Interaction, Neuroergonomics, Functional Neuroimaging, Neurostimulation, Augmented Cognition, Mobile Brain Imaging, Brain-Computer Interface, machine-learning

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