Foundations of Cognitive Neuroergonomics

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Neuroscience and Neural Engineering".

Deadline for manuscript submissions: closed (10 February 2023) | Viewed by 5538

Special Issue Editors


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Guest Editor
1. NBICS Department, National Research Center “Kurchatov Institute”, 123098 Moscow, Russia
2. Chair of Applied Cognitive Research, Technical University Dresden, 01069 Dresden, Germany
Interests: neuroergonomics; neurosemantics; joint human-machine work; attention and communication; social robotics; cognitive technologies; eye-brain-computer interfaces

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Guest Editor
Leibniz Research Centre for Working Environment and Human Factors (IfADo), TU Dortmund University, 44139 Dortmund, Germany
Interests: human-machine systems; adaptive interfaces; perception-action integration; visual attention; neurophysiology of cognitive processing
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Guest Editor
Department of Psychology, Engineering Psychology and Applied Cognitive Research, Technische Universität Dresden, 01062 Dresden, Germany
Interests: eye movements; visual attention; scene perception; gaze based interaction Avatar: attached

Special Issue Information

Dear Colleagues,

The focus of this Special Issue is on classical and emerging methods of investigating the human brain in relation to behavioral performance and technical systems in natural and simulated environments. The systems include computers, robotic devices, and vehicles of every kind such as aircraft, cars, trains, and ships. Besides electroencephalography (EEG), functional magnetic resonance imaging (fMRI), and near-infrared spectroscopy (NIRS), these methods increasingly involve neurostimulation approaches like transcranial magnetic stimulation (TMS), repetitive transcranial magnetic stimulation (rTMS), and transcranial direct-current stimulation (tDCS). These methodologies may be of importance in neurorehabilitation and a number of other medical applications. Of particular interest also are the brain mechanisms behind behavioral phenomena relevant to human factor engineering. Examples of such phenomena are the fluctuation of human attention between ambient and focal modes of information processing while confronting naturalistic visual scenes, as well as some sense of authorship (feeling of agency) when performing motor actions in a joint human–machine manner

Scholars around the world are invited to provide submissions that describe any aspects of relations between brain activity, human behavior, complex tasks, and technology. Applications to investigation of cognition, emotion, perception, decision making, attention, working memory, cognitive workload, performance monitoring, human–machine-interaction, brain–computer interface, and brain- and mind-adaptive technologies are welcome.

This Special Issue was initiated by Boris Velichkovsky. Due to his untimely dead in the process of preparation, we dedicate this collection of contributions to his work in the field of neuroergonomics.

Prof. Dr. Boris M. Velichkovsky
Prof. Dr. Edmund Wascher
Prof. Dr. Sebastian Pannasch
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • neuroergonomics
  • human–machine and human–robot interaction
  • perception
  • cognition
  • appied neuroimaging and neurostimulation
  • brain–computer and eye–brain–computer interfaces
  • virtual and augmented reality

Published Papers (2 papers)

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17 pages, 1513 KiB  
Article
Visual Demands of Walking Are Reflected in Eye-Blink-Evoked EEG-Activity
by Edmund Wascher, Stefan Arnau, Marie Gutberlet, Lewis L. Chuang, Gerhard Rinkenauer and Julian Elias Reiser
Appl. Sci. 2022, 12(13), 6614; https://doi.org/10.3390/app12136614 - 29 Jun 2022
Cited by 8 | Viewed by 1648
Abstract
Blinking is a natural user-induced response which paces visual information processing. This study investigates whether blinks are viable for segmenting continuous electroencephalography (EEG) activity, for inferring cognitive demands in ecologically valid work environments. We report the blink-related EEG measures of participants who performed [...] Read more.
Blinking is a natural user-induced response which paces visual information processing. This study investigates whether blinks are viable for segmenting continuous electroencephalography (EEG) activity, for inferring cognitive demands in ecologically valid work environments. We report the blink-related EEG measures of participants who performed auditory tasks either standing, walking on grass, or whilst completing an obstacle course. Blink-related EEG activity discriminated between different levels of cognitive demand during walking. Both behavioral parameters (e.g., blink duration or head motion) and blink-related EEG activity varied with walking conditions. Larger occipital N1 was observed during walking, relative to standing and traversing an obstacle course, which reflects differences in bottom-up visual perception. In contrast, the amplitudes of top-down components (N2, P3) significantly decreased with increasing walking demands, which reflected narrowing attention. This is consistent with blink-related EEG, specifically in Theta and Alpha power that, respectively, increased and decreased with increasing demands of the walking task. This work presents a novel and robust analytical approach to evaluate the cognitive demands experienced in natural work settings, which precludes the use of artificial task manipulations for data segmentation. Full article
(This article belongs to the Special Issue Foundations of Cognitive Neuroergonomics)
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23 pages, 830 KiB  
Systematic Review
The Advances of Immersive Virtual Reality Interventions for the Enhancement of Stress Management and Relaxation among Healthy Adults: A Systematic Review
by Maria Velana, Sabrina Sobieraj, Jan Digutsch and Gerhard Rinkenauer
Appl. Sci. 2022, 12(14), 7309; https://doi.org/10.3390/app12147309 - 20 Jul 2022
Cited by 6 | Viewed by 3335
Abstract
The rapid changes in human contacts due to the COVID-19 crisis have not only posed a huge burden on the population’s health but may have also increased the demand for evidence-based psychological programs delivered through digital technology. A systematic review, following the “Preferred [...] Read more.
The rapid changes in human contacts due to the COVID-19 crisis have not only posed a huge burden on the population’s health but may have also increased the demand for evidence-based psychological programs delivered through digital technology. A systematic review, following the “Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)” guidelines, was therefore conducted to explore the advances in stress management interventions utilizing VR and suggest up-to-date directions for future practice. The relevant literature was screened and the search resulted in 22,312 records, of which 16 studies were considered for analysis. The Methodological Index for Non-Randomized Studies (MINORS) was also employed to assess the quality of the included studies. The results suggest that VR-based interventions can facilitate positive changes in subjective stress levels and stress-related biomarkers. However, special attention should be paid to the development of rigorous VR protocols that embrace natural elements and concepts deriving from traditional treatment approaches, such as cognitive behavioral therapy techniques. Overall, this review aims to empower future researchers to grasp the opportunity that the COVID-19 pandemic generated and utilize digital technologies for strengthening individuals’ mental health. Future projects need to conduct large-scale VR studies to evaluate their effectiveness compared to other mental health interventions. Full article
(This article belongs to the Special Issue Foundations of Cognitive Neuroergonomics)
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