Neuroergonomics: Where the Cortex Hits the Concrete

Hancock, Peter A.

doi:10.3389/fnhum.2019.00115

Cited by 17 publications

(16 citation statements)

References 57 publications

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“…In addition to considerations of cognition alone, neuroergonomics investigates substantial information regarding brain signatures in relation to human physical performance (Hancock, 2019). The present literature review has categorized and extracted key findings from EEG experiments in 110 selected works.…”

Section: Resultsmentioning

confidence: 99%

Neuroergonomics Applications of Electroencephalography in Physical Activities: A Systematic Review

Rahman

Karwowski

Fąfrowicz

et al. 2019

Front. Hum. Neurosci.

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Recent years have seen increased interest in neuroergonomics, which investigates the brain activities of people engaged in diverse physical and cognitive activities at work and in everyday life. The present work extends upon prior assessments of the state of this art. However, here we narrow our focus specifically to studies that use electroencephalography (EEG) to measure brain activity, correlates, and effects during physical activity. The review uses systematically selected, openly published works derived from a guided search through peer-reviewed journals and conference proceedings. Identified studies were then categorized by the type of physical activity and evaluated considering methodological and chronological aspects via statistical and content-based analyses. From the identified works ( n = 110), a specific number ( n = 38) focused on less mobile muscular activities, while an additional group ( n = 22) featured both physical and cognitive tasks. The remainder ( n = 50) investigated various physical exercises and sporting activities and thus were here identified as a miscellaneous grouping. Most of the physical activities were isometric exertions, moving parts of upper and lower limbs, or walking and cycling. These primary categories were sub-categorized based on movement patterns, the use of the event-related potentials (ERP) technique, the use of recording methods along with EEG and considering mental effects. Further information on subjects' gender, EEG recording devices, data processing, and artifact correction methods and citations was extracted. Due to the heterogeneous nature of the findings from various studies, statistical analyses were not performed. These were thus included in a descriptive fashion. Finally, contemporary research gaps were pointed out, and future research prospects to address those gaps were discussed.

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Section: Resultsmentioning

confidence: 99%

Neuroergonomics Applications of Electroencephalography in Physical Activities: A Systematic Review

Rahman

Karwowski

Fąfrowicz

et al. 2019

Front. Hum. Neurosci.

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“…Traditional techniques and methods evaluated work tasks in a subjective manner, using a variety of qualitative approaches [5][6][7]. Such approaches do not allow for adequate analysis of the complex interactions between the cognitive, perceptual, and physical aspects of working with modern technology [3,[8][9][10][11] nor do they allow us to model and quantify the complex relationship between the human mind and technology [11].…”

Section: Introductionmentioning

confidence: 99%

Applications of EEG indices for the quantification of human cognitive performance: A systematic review and bibliometric analysis

Ismail

Karwowski

2020

PLoS ONE

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Background Neuroergonomics combines neuroscience with ergonomics to study human performance using recorded brain signals. Such neural signatures of performance can be measured using a variety of neuroimaging techniques, including functional magnetic resonance imaging (fMRI), functional near-infrared spectroscopy (fNIRS), and electroencephalography (EEG). EEG has an excellent temporal resolution, and EEG indices are highly sensitive to human brain activity fluctuations. Objective The focus of this systematic review was to explore the applications of EEG indices for quantifying human performance in a variety of cognitive tasks at the macro and micro scales. To identify trends and the state of the field, we examined global patterns among selected articles, such as journal contributions, highly cited papers, affiliations, and high-frequency keywords. Moreover, we discussed the most frequently used EEG indices and synthesized current knowledge regarding the EEG signatures of associated human performance measurements. Methods In this systematic review, we analyzed articles published in English (from peer-reviewed journals, proceedings, and conference papers), Ph.D. dissertations, textbooks, and reference books. All articles reviewed herein included exclusively EEG-based experimental studies in healthy participants. We searched Web-of-Science and Scopus databases using specific sets of keywords. Results Out of 143 papers, a considerable number of cognitive studies focused on quantifying human performance with respect to mental fatigue, mental workload, mental effort, visual fatigue, emotion, and stress. An increasing trend for publication in this area was observed, with the highest number of publications in 2017. Most studies applied linear methods (e.g., EEG power spectral density and the amplitude of event-related potentials) to evaluate human cognitive performance. A few papers utilized nonlinear methods, such as fractal dimension, largest Lyapunov exponent, and signal entropy. More than 50% of the studies focused on evaluating an individual’s mental states while operating a vehicle. Several different methods of artifact removal have also been noted. Based on the reviewed articles, research gaps, trends, and potential directions for future research were explored. Conclusion This systematic review synthesized current knowledge regarding the application of EEG indices for quantifying human performance in a wide variety of cognitive tasks. This knowledge is useful for understanding the global patterns of applications of EEG indices for the analysis and design of cognitive tasks.

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“…Thus, the neurocognitive approach allows us to ask different questions and develop new explanatory frameworks about work, which traditional ergonomic approaches based primarily on the measurement of overt performance and subjective impressions cannot ask. Aside from serious voices that generally cast doubt on the approach [ 15 ], such a position faces many challenges. As we wanted to show, there are still considerable theoretical and practical measurement problems, especially when it takes place outside the laboratory in the natural environment.…”

Section: Discussionmentioning

confidence: 99%

“…The central aim of these measures is a reduction of information access costs [ 14 ], for example, when information presentation is diversified by using different resource modalities [ 5 ]. Promising attempts have been made in the field of human–machine interaction to automatically detect mental overload using machine learning algorithms and to relieve strain by emitting specific tasks to the machine and release tied-up resources [ 15 ].…”

Section: Introductionmentioning

confidence: 99%

Influence of Increasing Task Complexity and Use of Informational Assistance Systems on Mental Workload

Bläsing

Bornewasser²

2021

Brain Sciences

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(1) Background: Cognitive aspects and complexity in modern manual mixed model assembly are increasing. To reduce mental workload (MWL), informational assistance systems are introduced. The influence of complexity and used assistance system on MWL should be investigated to further improve the implementation of such assistance systems. (2) Methods: Using a simulated close to real-life assembly task a 2 × 3 design was chosen, with two levels of assembly complexity (within subjects) and three different assistance systems (paper, Augmented Reality (AR)-glasses, tablet–between subjects). MWL was measured using either physiological response (electrocardiogram (ECG) and eye-tracking) or performance indicators. (3) Results: An influence of task complexity on MWL can be shown. Additionally, usability based differences between the used assistance systems become more evident with reference to the results of area of interest analysis. (4) Conclusions: Using a multi-modal measurement approach, it is possible to detect complexity-based differences in MWL. Additional research on validity and alignment is needed to further use these for (neuro-) ergonomic considerations and recommendations.

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Neuroergonomics: Where the Cortex Hits the Concrete

Cited by 17 publications

References 57 publications

Neuroergonomics Applications of Electroencephalography in Physical Activities: A Systematic Review

Neuroergonomics Applications of Electroencephalography in Physical Activities: A Systematic Review

Applications of EEG indices for the quantification of human cognitive performance: A systematic review and bibliometric analysis

Influence of Increasing Task Complexity and Use of Informational Assistance Systems on Mental Workload

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