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Book ; Online ; Conference proceedings ; E-Book: Advances in Neuroergonomics and Cognitive Engineering

Ayaz, Hasan / Asgher, Umer

Proceedings of the AHFE 2020 Virtual Conferences on Neuroergonomics and Cognitive Engineering, and Industrial Cognitive Ergonomics and Engineering Psychology, July 16-20, 2020, USA

(Advances in Intelligent Systems and Computing, ; 1201)

2021

Abstract: This book offers broad overview of the field of cognitive engineering and neuroergonomics, covering emerging practices and future trends toward the harmonious integration of human operators and computer systems. It presents novel theoretical findings on ... ...

Author's details	edited by Hasan Ayaz, Umer Asgher
Series title	Advances in Intelligent Systems and Computing, ; 1201 Advances in intelligent systems and computing
Collection	Advances in intelligent systems and computing
Abstract	This book offers broad overview of the field of cognitive engineering and neuroergonomics, covering emerging practices and future trends toward the harmonious integration of human operators and computer systems. It presents novel theoretical findings on mental workload and stress, activity theory, human reliability, error and risk, and a wealth of cutting-edge applications, such as strategies to make assistive technologies more user-oriented. Further, the book describes key advances in our understanding of cognitive processes, including mechanisms of perception, memory, reasoning, and motor response,with a particular focus on their role in interactions between humans and other elements of computer-based systems.Gathering the proceedings of the AHFE 2020 Virtual Conferences on Neuroergonomics and Cognitive Engineering, and Industrial Cognitive Ergonomics and Engineering Psychology, held on 16–20 July 2020, this book provides extensive and timely information for human–computer interaction researchers, human factors engineers and interaction designers, as well as decision-makers. .
Keywords	Computational intelligence ; Biomedical engineering ; Engineering design ; Engineering economics ; Engineering economy ; Computational Intelligence ; Biomedical Engineering and Bioengineering ; Engineering Design ; Engineering Economics, Organization, Logistics, Marketing
Subject code	612.80285
Language	English
Size	1 online resource (458 pages).
Edition	1st ed. 2021.
Publisher	Springer International Publishing ; Imprint: Springer
Publishing place	Cham
Document type	Book ; Online ; Conference proceedings ; E-Book
Remark	Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
ISBN	3-030-51041-7 ; 3-030-51040-9 ; 978-3-030-51041-1 ; 978-3-030-51040-4
DOI	10.1007/978-3-030-51041-1
Database	ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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Book ; Online ; Conference proceedings ; E-Book: Advances in neuroergonomics and cognitive engineering

Ayaz, Hasan / Asgher, Umer / Paletta, Lucas

proceedings of the AHFE 2021 virtual conferences on neuroergonomics and cognitive engineering, industrial cognitive ergonomics and engineering psychology, and cognitive computing and internet of things, July 25-29, 2021, USA

(Lecture Notes in Networks and Systems ; Volume 259)

2021

Author's details	Hasan Ayaz, Umer Asgher, Lucas Paletta, editors
Series title	Lecture Notes in Networks and Systems ; Volume 259
Keywords	Neuroergonomics
Subject code	612.8
Language	English
Size	1 online resource (534 pages)
Publisher	Springer
Publishing place	Cham, Switzerland
Document type	Book ; Online ; Conference proceedings ; E-Book
Remark	Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
ISBN	3-030-80285-X ; 3-030-80284-1 ; 978-3-030-80285-1 ; 978-3-030-80284-4
Database	ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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Book ; Online: Trends in Neuroergonomics: A Comprehensive Overview

Ayaz, Hasan / Zander, Thorsten O. / Fairclough, Stephen H. / Gramann, Klaus

2017

Abstract: This Research Topic is dedicated to Raja Parasuraman who unexpectedly passed on March 22nd 2015. Raja Parasuraman's pioneering work led the emergence of Neuroergonomics as a new scientific field. He combined his research interests in the field of ... ...

Abstract	This Research Topic is dedicated to Raja Parasuraman who unexpectedly passed on March 22nd 2015. Raja Parasuraman's pioneering work led the emergence of Neuroergonomics as a new scientific field. He combined his research interests in the field of Neuroergonomics which he defined as the study of the human brain in relation to performance at work and everyday settings. Raja Parasuraman was a pioneer, a truly exceptional researcher and an extraordinary person. He made significant contributions to a number of disciplines, from human factors to cognitive neuroscience. His advice to young researchers was to be passionate in order to develop theory and knowledge that can guide the design of technologies and environments for people. His legacy, the field of Neuroergonomics, will live on in countless faculties and students whom he advised and inspired with unmatched humility throughout the whole of his distinguished career.- Raja Parasuraman was an impressive human being, a very kind person, and an absolutely inspiring individual who will be remembered by everyone who had the chance to meet him. About this Research Topic Since the advent of neuroergonomics, significant progress has been made with respect to methodology and tools for the investigation of the brain and behavior at work. This is especially the case for neuroscientific methods where the availability of ambulatory hardware, wearable sensors and advanced data analyses allow for imaging of brain dynamics in humans in applied environments. Methods such as: electroencephalography (EEG), functional near-infrared spectroscopy (fNIRS), and stimulation approaches like transcranial direct-currrent stimulation (tDCS) have made significant progress in both recording and altering brain activity while allowing full body movements outside laboratory environments.- For neuroergonomics, the application of brain imaging in real-world scenarios is highly relevant. Traditionally, brain imaging experiments in human factors research tend to avoid active behavior for fear of artifacts and a contaminated data set that would provide limited insight into brain dynamics in real working environments. To overcome these problems new analyses approaches have to be developed that identify artifacts resulting from hostile recording environments and movement-related non-brain activity stemming from eye-, head, and full-body movements. The application of methodology from the field of Brain-Computer Interfacing (BCI) for neuroergonomics is one approach that has significant potential to enhance ambulatory monitoring and applied testing. Passive BCIs allow for assessing aspects of the user state online, such that systems can automatically adapt to their user.-
Keywords	Neurosciences. Biological psychiatry. Neuropsychiatry ; Science (General)
Size	1 electronic resource (402 p.)
Publisher	Frontiers Media SA
Document type	Book ; Online
Note	English ; Open Access
HBZ-ID	HT020095909
ISBN	9782889452033 ; 2889452034
Database	ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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Article: Impaired Cortico-Thalamo-Cerebellar Integration Across Schizophrenia, Bipolar II, and Attention Deficit Hyperactivity Disorder Patients Suggests Potential Neural Signatures for Psychiatric Illness.

Hudgins, Stacy N / Curtin, Adrian / Tracy, Joseph / Ayaz, Hasan

Research square

2024

Abstract: Understanding aberrant functional changes between brain regions has shown promise for characterizing and differentiating the symptoms associated with progressive psychiatric disorders. The functional integration between the thalamus and cerebellum ... ...

Abstract	Understanding aberrant functional changes between brain regions has shown promise for characterizing and differentiating the symptoms associated with progressive psychiatric disorders. The functional integration between the thalamus and cerebellum significantly influences learning and memory in cognition. Observed in schizophrenic patients, dysfunction within the corticalthalamocerebellar (CTC) circuitry is linked to challenges in prioritizing, processing, coordinating, and responding to information. This study explored whether abnormal CTC functional network connectivity patterns are present across schizophrenia (SCHZ) patients, bipolar II disorder (BIPOL) patients, and ADHD patients by examining both task- and task-free conditions compared to healthy volunteers (HC). Leveraging fMRI data from 135 participants (39 HC, 27 SCHZ patients, 38 BIPOL patients, and 31 ADHD patients), we analyzed functional network connectivity (FNC) patterns across 115 cortical, thalamic, subcortical, and cerebellar regions of interest (ROIs). Guiding our investigation: First, do the brain regions of the CTC circuit exhibit distinct abnormal patterns at rest in SCHZ, ADHD, and BIPOL? Second, do working memory tasks in these patients engage common regions of the circuit in similar or unique patterns? Consistent with previous findings, our observations revealed FNC patterns constrained in the cerebellar, thalamic, striatal, hippocampal, medial prefrontal and insular cortices across all three psychiatric cohorts when compared to controls in both task and task-free conditions. Post hoc analysis suggested a predominance in schizophrenia and ADHD patients during rest, while the task condition demonstrated effects across all three disorders. Factor-by-covariance GLM MANOVA further specified regions associated with clinical symptoms and trait assessments. Our study provides evidence suggesting that dysfunctional CTC circuitry in both task-free and task-free conditions may be an important broader neural signature of psychiatric illness.
Language	English
Publishing date	2024-03-29
Publishing country	United States
Document type	Preprint
DOI	10.21203/rs.3.rs-4145883/v1
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Article: Simultaneous fMRI and tDCS for Enhancing Training of Flight Tasks.

Mark, Jesse A / Ayaz, Hasan / Callan, Daniel E

Brain sciences

2023 Volume 13, Issue 7

Abstract: There is a gap in our understanding of how best to apply transcranial direct-current stimulation (tDCS) to enhance learning in complex, realistic, and multifocus tasks such as aviation. Our goal is to assess the effects of tDCS and feedback training on ... ...

Abstract	There is a gap in our understanding of how best to apply transcranial direct-current stimulation (tDCS) to enhance learning in complex, realistic, and multifocus tasks such as aviation. Our goal is to assess the effects of tDCS and feedback training on task performance, brain activity, and connectivity using functional magnetic resonance imaging (fMRI). Experienced glider pilots were recruited to perform a one-day, three-run flight-simulator task involving varying difficulty conditions and a secondary auditory task, mimicking real flight requirements. The stimulation group (versus sham) received 1.5 mA high-definition HD-tDCS to the right dorsolateral prefrontal cortex (DLPFC) for 30 min during the training. Whole-brain fMRI was collected before, during, and after stimulation. Active stimulation improved piloting performance both during and post-training, particularly in novice pilots. The fMRI revealed a number of tDCS-induced effects on brain activation, including an increase in the left cerebellum and bilateral basal ganglia for the most difficult conditions, an increase in DLPFC activation and connectivity to the cerebellum during stimulation, and an inhibition in the secondary task-related auditory cortex and Broca's area. Here, we show that stimulation increases activity and connectivity in flight-related brain areas, particularly in novices, and increases the brain's ability to focus on flying and ignore distractors. These findings can guide applied neurostimulation in real pilot training to enhance skill acquisition and can be applied widely in other complex perceptual-motor real-world tasks.
Language	English
Publishing date	2023-07-03
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2651993-8
ISSN	2076-3425
ISSN	2076-3425
DOI	10.3390/brainsci13071024
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Article ; Online: Mental workload assessment by monitoring brain, heart, and eye with six biomedical modalities during six cognitive tasks.

Mark, Jesse A / Curtin, Adrian / Kraft, Amanda E / Ziegler, Matthias D / Ayaz, Hasan

Frontiers in neuroergonomics

2024 Volume 5, Page(s) 1345507

Abstract: Introduction: The efficiency and safety of complex high precision human-machine systems such as in aerospace and robotic surgery are closely related to the cognitive readiness, ability to manage workload, and situational awareness of their operators. ... ...

Abstract	Introduction: The efficiency and safety of complex high precision human-machine systems such as in aerospace and robotic surgery are closely related to the cognitive readiness, ability to manage workload, and situational awareness of their operators. Accurate assessment of mental workload could help in preventing operator error and allow for pertinent intervention by predicting performance declines that can arise from either work overload or under stimulation. Neuroergonomic approaches based on measures of human body and brain activity collectively can provide sensitive and reliable assessment of human mental workload in complex training and work environments. Methods: In this study, we developed a new six-cognitive-domain task protocol, coupling it with six biomedical monitoring modalities to concurrently capture performance and cognitive workload correlates across a longitudinal multi-day investigation. Utilizing two distinct modalities for each aspect of cardiac activity (ECG and PPG), ocular activity (EOG and eye-tracking), and brain activity (EEG and fNIRS), 23 participants engaged in four sessions over 4 weeks, performing tasks associated with working memory, vigilance, risk assessment, shifting attention, situation awareness, and inhibitory control. Results: The results revealed varying levels of sensitivity to workload within each modality. While certain measures exhibited consistency across tasks, neuroimaging modalities, in particular, unveiled meaningful differences between task conditions and cognitive domains. Discussion: This is the first comprehensive comparison of these six brain-body measures across multiple days and cognitive domains. The findings underscore the potential of wearable brain and body sensing methods for evaluating mental workload. Such comprehensive neuroergonomic assessment can inform development of next generation neuroadaptive interfaces and training approaches for more efficient human-machine interaction and operator skill acquisition.
Language	English
Publishing date	2024-03-12
Publishing country	Switzerland
Document type	Journal Article
ISSN	2673-6195
ISSN (online)	2673-6195
DOI	10.3389/fnrgo.2024.1345507
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Article: Editorial: Augmenting human experience and performance through interaction technologies.

Barresi, Giacinto / Ayaz, Hasan / Seigneur, Jean-Marc / Di Pino, Giovanni / Bertolaso, Marta

Frontiers in psychology

2024 Volume 15, Page(s) 1356658

Language	English
Publishing date	2024-03-07
Publishing country	Switzerland
Document type	Editorial
ZDB-ID	2563826-9
ISSN	1664-1078
ISSN	1664-1078
DOI	10.3389/fpsyg.2024.1356658
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Article ; Online: Haptic shared control improves neural efficiency during myoelectric prosthesis use.

Thomas, Neha / Miller, Alexandra J / Ayaz, Hasan / Brown, Jeremy D

Scientific reports

2023 Volume 13, Issue 1, Page(s) 484

Abstract: Clinical myoelectric prostheses lack the sensory feedback and sufficient dexterity required to complete activities of daily living efficiently and accurately. Providing haptic feedback of relevant environmental cues to the user or imbuing the prosthesis ... ...

Abstract	Clinical myoelectric prostheses lack the sensory feedback and sufficient dexterity required to complete activities of daily living efficiently and accurately. Providing haptic feedback of relevant environmental cues to the user or imbuing the prosthesis with autonomous control authority have been separately shown to improve prosthesis utility. Few studies, however, have investigated the effect of combining these two approaches in a shared control paradigm, and none have evaluated such an approach from the perspective of neural efficiency (the relationship between task performance and mental effort measured directly from the brain). In this work, we analyzed the neural efficiency of 30 non-amputee participants in a grasp-and-lift task of a brittle object. Here, a myoelectric prosthesis featuring vibrotactile feedback of grip force and autonomous control of grasping was compared with a standard myoelectric prosthesis with and without vibrotactile feedback. As a measure of mental effort, we captured the prefrontal cortex activity changes using functional near infrared spectroscopy during the experiment. It was expected that the prosthesis with haptic shared control would improve both task performance and mental effort compared to the standard prosthesis. Results showed that only the haptic shared control system enabled users to achieve high neural efficiency, and that vibrotactile feedback was important for grasping with the appropriate grip force. These results indicate that the haptic shared control system synergistically combines the benefits of haptic feedback and autonomous controllers, and is well-poised to inform such hybrid advancements in myoelectric prosthesis technology.
MeSH term(s)	Humans ; Prosthesis Design ; Activities of Daily Living ; Haptic Technology ; Amputees ; Artificial Limbs ; Feedback, Sensory ; Hand Strength ; Electromyography/methods
Language	English
Publishing date	2023-01-10
Publishing country	England
Document type	Journal Article ; Research Support, U.S. Gov't, Non-P.H.S.
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-022-26673-2
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Article ; Online: Neuroadaptive Training

Mark, Jesse A / Kraft, Amanda E / Ziegler, Matthias D / Ayaz, Hasan

Frontiers in neuroergonomics

2022 Volume 3, Page(s) 820523

Abstract: Training to master a new skill often takes a lot of time, effort, and financial resources, particularly when the desired skill is complex, time sensitive, or high pressure where lives may be at risk. Professions such as aircraft pilots, surgeons, and ... ...

Abstract	Training to master a new skill often takes a lot of time, effort, and financial resources, particularly when the desired skill is complex, time sensitive, or high pressure where lives may be at risk. Professions such as aircraft pilots, surgeons, and other mission-critical operators that fall under this umbrella require extensive domain-specific dedicated training to enable learners to meet real-world demands. In this study, we describe a novel neuroadaptive training protocol to enhance learning speed and efficiency using a neuroimaging-based cognitive workload measurement system in a flight simulator. We used functional near-infrared spectroscopy (fNIRS), which is a wearable, mobile, non-invasive neuroimaging modality that can capture localized hemodynamic response and has been used extensively to monitor the anterior prefrontal cortex to estimate cognitive workload. The training protocol included four sessions over 2 weeks and utilized realistic piloting tasks with up to nine levels of difficulty. Learners started at the lowest level and their progress adapted based on either behavioral performance and fNIRS measures combined (neuroadaptive) or performance measures alone (control). Participants in the neuroadaptive group were found to have significantly more efficient training, reaching higher levels of difficulty or significantly improved performance depending on the task, and showing consistent patterns of hemodynamic-derived workload in the dorsolateral prefrontal cortex. The results of this study suggest that a neuroadaptive personalized training protocol using non-invasive neuroimaging is able to enhance learning of new tasks. Finally, we outline here potential avenues for further optimization of this fNIRS based neuroadaptive training approach. As fNIRS mobile neuroimaging is becoming more practical and accessible, the approaches developed here can be applied in the real world in scale.
Language	English
Publishing date	2022-03-30
Publishing country	Switzerland
Document type	Journal Article
ISSN	2673-6195
ISSN (online)	2673-6195
DOI	10.3389/fnrgo.2022.820523
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Article: Exploring Social Impairment in Those with Opioid Use Disorder: Linking Impulsivity, Childhood Trauma, and the Prefrontal Cortex.

Arruda, Thais / Sinko, Laura / Regier, Paul / Tufanoglu, Altona / Curtin, Adrian / Teitelman, Anne / Ayaz, Hasan / Cronholm, Peter / Childress, Anna Rose

Research square

2024

Abstract: Background: Challenges with social functioning, which is a hallmark of opioid use disorder (OUD), are a drawback in treatment adherence and maintenance. Yet, little research has explored the underlying mechanisms of this impairment. Impulsivity, a known ...

Abstract	Background: Challenges with social functioning, which is a hallmark of opioid use disorder (OUD), are a drawback in treatment adherence and maintenance. Yet, little research has explored the underlying mechanisms of this impairment. Impulsivity, a known risk factor for OUD, and corresponding neural alterations may be at the center of this issue. Childhood adversity, which has been linked to both impulsivity and poorer treatment outcomes, could also affect this relationship. This study aims to understand the relationship between impulsivity and social functioning in those recovering from OUD. Differences in the prefrontal cortex will be analyzed, as well as potential moderating effects of childhood trauma. Methods: Participants with (N = 16) and without (N = 19) social impairment completed a survey (e.g., social functioning, Barrat's Impulsivity Scale, Adverse Childhood Experiences (ACEs) and cognitive tasks while undergoing neuroimaging. Functional near infrared spectroscopy (fNIRS), a modern, portable, wearable and low-cost neuroimaging technology, was used to measure prefrontal cortex activity during a behavioral inhibition task (Go/No-Go task). Results: Those who social functioning survey scores indicated social impairment (n = 16) scored significantly higher on impulsivity scale (t(33)= -3.4, p < 0.01) and reported more depressive symptoms (t(33) = -2.8, p < 0.01) than those reporting no social impairment (n = 19). Social functioning was negatively correlated with impulsivity (r=-0.7, p < 0.001), such that increased impulsivity corresponded to decreased social functioning. Childhood trauma emerged as a moderator of this relationship, but only when controlling for the effects of depression, B=-0.11, p = 0.023. Although both groups had comparable Go/No-Go task performance, the socially impaired group displayed greater activation in the dorsolateral (F(1,100.8) = 7.89, p < 0.01), ventrolateral (F(1,88.8) = 7.33, p < 0.01), and ventromedial (F(1,95.6) = 7.56, p < 0.01) prefrontal cortex during impulse control. Conclusion: In addition to being more impulsive, individuals with social impairment exhibited differential activation in the prefrontal cortex when controlling responses. Furthermore, the impact of impulsivity on social functioning varies depending on ACEs demonstrating that it must be considered in treatment approaches. These findings have implications for addressing social needs and impulsivity of those in recovery, highlighting the importance of a more personalized, integrative, and trauma-informed approach to intervention.
Language	English
Publishing date	2024-04-08
Publishing country	United States
Document type	Preprint
DOI	10.21203/rs.3.rs-4202009/v1
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