Subjects -> HEALTH AND SAFETY (Total: 1464 journals)
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    - HEALTH AND SAFETY (686 journals)
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HEALTH AND SAFETY (686 journals)                  1 2 3 4 | Last

Showing 1 - 200 of 203 Journals sorted alphabetically
16 de Abril     Open Access   (Followers: 1)
ACM Transactions on Computing for Healthcare     Hybrid Journal  
Acta Scientiarum. Health Sciences     Open Access   (Followers: 2)
Adultspan Journal     Hybrid Journal   (Followers: 1)
Advances in Child Development and Behavior     Full-text available via subscription   (Followers: 11)
Advances in Public Health     Open Access   (Followers: 30)
Adversity and Resilience Science : Journal of Research and Practice     Hybrid Journal   (Followers: 3)
African Health Sciences     Open Access   (Followers: 7)
African Journal of Health Professions Education     Open Access   (Followers: 6)
Afrimedic Journal     Open Access   (Followers: 3)
Ageing & Society     Hybrid Journal   (Followers: 40)
Aging and Health Research     Open Access   (Followers: 3)
Air Quality, Atmosphere & Health     Hybrid Journal   (Followers: 10)
AJOB Empirical Bioethics     Hybrid Journal   (Followers: 3)
Akademika     Open Access  
American Journal of Family Therapy     Hybrid Journal   (Followers: 6)
American Journal of Health Economics     Full-text available via subscription   (Followers: 25)
American Journal of Health Education     Hybrid Journal   (Followers: 36)
American Journal of Health Promotion     Hybrid Journal   (Followers: 24)
American Journal of Health Sciences     Open Access   (Followers: 11)
American Journal of Health Studies     Full-text available via subscription   (Followers: 14)
American Journal of Preventive Medicine     Hybrid Journal   (Followers: 34)
American Journal of Public Health     Full-text available via subscription   (Followers: 208)
American Journal of Public Health Research     Open Access   (Followers: 31)
Analytic Methods in Accident Research     Hybrid Journal   (Followers: 9)
Annali dell'Istituto Superiore di Sanità     Open Access  
Annals of Global Health     Open Access   (Followers: 10)
Annals of Health Law     Open Access   (Followers: 7)
Applied Biosafety     Hybrid Journal   (Followers: 2)
Applied Ergonomics     Hybrid Journal   (Followers: 18)
Apuntes Universitarios     Open Access   (Followers: 1)
Archives of Community Medicine and Public Health     Open Access   (Followers: 2)
Archives of Medicine and Health Sciences     Open Access   (Followers: 5)
Archives of Suicide Research     Hybrid Journal   (Followers: 11)
Archivos de Prevención de Riesgos Laborales     Open Access  
ASA Monitor     Full-text available via subscription   (Followers: 18)
Asia Pacific Journal of Counselling and Psychotherapy     Hybrid Journal   (Followers: 7)
Asia Pacific Journal of Health Management     Full-text available via subscription   (Followers: 4)
Asia-Pacific Journal of Public Health     Hybrid Journal   (Followers: 11)
Asian Journal of Gambling Issues and Public Health     Open Access   (Followers: 5)
Asian Journal of Medicine and Health     Open Access   (Followers: 1)
Asian Journal of Population Sciences     Open Access   (Followers: 9)
Asian Journal of Social Health and Behavior     Open Access   (Followers: 3)
Atención Primaria     Open Access   (Followers: 2)
Atención Primaria Práctica     Open Access  
Australasian Journal of Paramedicine     Open Access   (Followers: 8)
Australian Advanced Aesthetics     Full-text available via subscription   (Followers: 4)
Australian Family Physician     Full-text available via subscription   (Followers: 3)
Australian Indigenous HealthBulletin     Free   (Followers: 4)
Autism & Developmental Language Impairments     Open Access   (Followers: 15)
Bijzijn XL     Hybrid Journal  
Biograph-I : Journal of Biostatistics and Demographic Dynamic     Open Access   (Followers: 1)
Biomedical Safety & Standards     Full-text available via subscription   (Followers: 7)
Biosafety and Health     Open Access  
Biosalud     Open Access  
Birat Journal of Health Sciences     Open Access  
BLDE University Journal of Health Sciences     Open Access   (Followers: 1)
BMC Oral Health     Open Access   (Followers: 5)
BMC Pregnancy and Childbirth     Open Access   (Followers: 19)
Brazilian Journal of Medicine and Human Health     Open Access  
British Journal of Health Psychology     Hybrid Journal   (Followers: 52)
Buletin Penelitian Kesehatan     Open Access  
Buletin Penelitian Sistem Kesehatan     Open Access  
Cadernos de Educação, Saúde e Fisioterapia     Open Access  
Cadernos de Saúde     Open Access  
Cambridge Quarterly of Healthcare Ethics     Hybrid Journal   (Followers: 13)
Canadian Family Physician     Partially Free   (Followers: 14)
Canadian Journal of Community Mental Health     Full-text available via subscription   (Followers: 16)
Canadian Journal of Human Sexuality     Hybrid Journal   (Followers: 1)
Canadian Journal of Public Health     Hybrid Journal   (Followers: 26)
Cannabis and Cannabinoid Research     Hybrid Journal   (Followers: 1)
Carta Comunitaria     Open Access  
Case Reports in Women's Health     Open Access   (Followers: 4)
CASUS : Revista de Investigación y Casos en Salud     Open Access  
Central Asian Journal of Global Health     Open Access   (Followers: 2)
CES Medicina     Open Access  
CES Salud Pública     Open Access  
Child and Adolescent Obesity     Open Access   (Followers: 3)
Child's Nervous System     Hybrid Journal  
Childhood Obesity and Nutrition     Open Access   (Followers: 11)
Children     Open Access  
Chinese Journal of Physiology     Open Access   (Followers: 3)
CHRISMED Journal of Health and Research     Open Access   (Followers: 1)
Christian Journal for Global Health     Open Access   (Followers: 1)
Ciencia & Salud     Open Access  
Ciencia & Trabajo     Open Access  
Ciencia e Innovación en Salud     Open Access  
Ciencia y Cuidado     Open Access   (Followers: 1)
Ciencia y Salud     Open Access   (Followers: 1)
Ciencia, Tecnología y Salud     Open Access  
Cities & Health     Hybrid Journal   (Followers: 5)
Cleaner and Responsible Consumption     Open Access  
Clinical and Experimental Health Sciences     Open Access   (Followers: 1)
ClinicoEconomics and Outcomes Research     Open Access   (Followers: 1)
Clocks & Sleep     Open Access   (Followers: 1)
CME     Hybrid Journal   (Followers: 1)
Community Health     Open Access   (Followers: 6)
Conflict and Health     Open Access   (Followers: 8)
Contact (CTC)     Open Access  
Contraception and Reproductive Medicine     Open Access   (Followers: 2)
Cuaderno de investigaciones: semilleros andina     Open Access  
Current Opinion in Behavioral Sciences     Hybrid Journal   (Followers: 10)
Current Opinion in Environmental Science & Health     Hybrid Journal  
D Y Patil Journal of Health Sciences     Open Access   (Followers: 4)
Das österreichische Gesundheitswesen ÖKZ     Hybrid Journal  
Day Surgery Australia     Full-text available via subscription   (Followers: 2)
Design for Health     Hybrid Journal   (Followers: 1)
Digital Health     Open Access   (Followers: 11)
Disaster Medicine and Public Health Preparedness     Hybrid Journal   (Followers: 12)
Discover Social Science and Health     Open Access   (Followers: 5)
Diversity and Equality in Health and Care     Open Access   (Followers: 10)
Diversity of Research in Health Journal     Open Access   (Followers: 1)
Dramatherapy     Hybrid Journal   (Followers: 2)
Drogues, santé et société     Open Access   (Followers: 2)
Düzce Üniversitesi Sağlık Bilimleri Enstitüsü Dergisi / Journal of Duzce University Health Sciences Institute     Open Access  
Early Childhood Research Quarterly     Hybrid Journal   (Followers: 23)
East African Journal of Public Health     Full-text available via subscription   (Followers: 3)
Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity     Hybrid Journal   (Followers: 25)
EcoHealth     Hybrid Journal   (Followers: 5)
Education for Health     Open Access   (Followers: 9)
electronic Journal of Health Informatics     Open Access   (Followers: 7)
ElectronicHealthcare     Full-text available via subscription   (Followers: 2)
Emerging Trends in Drugs, Addictions, and Health     Open Access   (Followers: 1)
Ensaios e Ciência : Ciências Biológicas, Agrárias e da Saúde     Open Access  
Environmental Disease     Open Access   (Followers: 3)
Environmental Sciences Europe     Open Access   (Followers: 2)
Epidemics     Open Access   (Followers: 7)
EsSEX : Revista Científica     Open Access  
Estudios sociales : Revista de alimentación contemporánea y desarrollo regional     Open Access  
Ethics & Human Research     Hybrid Journal   (Followers: 4)
Ethics, Medicine and Public Health     Full-text available via subscription   (Followers: 7)
Ethiopian Journal of Health Development     Open Access   (Followers: 7)
Ethiopian Journal of Health Sciences     Open Access   (Followers: 6)
Ethnicity & Health     Hybrid Journal   (Followers: 16)
Eurasian Journal of Health Technology Assessment     Open Access   (Followers: 1)
EUREKA : Health Sciences     Open Access  
European Journal of Health Communication     Open Access  
European Journal of Investigation in Health, Psychology and Education     Open Access   (Followers: 5)
Evaluation & the Health Professions     Hybrid Journal   (Followers: 11)
Evidência - Ciência e Biotecnologia - Interdisciplinar     Open Access  
Exploratory Research in Clinical and Social Pharmacy     Open Access  
Expressa Extensão     Open Access  
F&S Reports     Open Access  
Face à face     Open Access  
Families, Systems, & Health     Full-text available via subscription   (Followers: 8)
Family & Community Health     Hybrid Journal   (Followers: 13)
Family Medicine and Community Health     Open Access   (Followers: 8)
Family Relations     Partially Free   (Followers: 11)
FASEB BioAdvances     Open Access  
Fatigue : Biomedicine, Health & Behavior     Hybrid Journal   (Followers: 3)
Finnish Journal of eHealth and eWelfare : Finjehew     Open Access  
Food and Public Health     Open Access   (Followers: 10)
Food Hydrocolloids for Health     Open Access  
Food Quality and Safety     Open Access   (Followers: 2)
Frontiers in Digital Health     Open Access   (Followers: 4)
Frontiers in Neuroergonomics     Open Access  
Frontiers in Public Health     Open Access   (Followers: 8)
Frontiers of Health Services Management     Partially Free   (Followers: 6)
Gaceta Sanitaria     Open Access   (Followers: 2)
Galen Medical Journal     Open Access  
Ganesha Journal     Open Access  
Gazi Sağlık Bilimleri Dergisi     Open Access  
Geospatial Health     Open Access   (Followers: 1)
Gestão e Desenvolvimento     Open Access  
Gesundheitsökonomie & Qualitätsmanagement     Hybrid Journal   (Followers: 7)
Giornale Italiano di Health Technology Assessment     Full-text available via subscription  
Global Advances in Health and Medicine     Open Access  
Global Challenges     Open Access   (Followers: 2)
Global Health : Science and Practice     Open Access   (Followers: 7)
Global Health Annual Review     Open Access   (Followers: 2)
Global Health Innovation     Open Access   (Followers: 4)
Global Health Journal     Open Access   (Followers: 2)
Global Health Promotion     Hybrid Journal   (Followers: 15)
Global Journal of Health Science     Open Access   (Followers: 5)
Global Journal of Public Health     Open Access   (Followers: 16)
Global Medical & Health Communication     Open Access   (Followers: 1)
Global Mental Health     Open Access   (Followers: 13)
Global Reproductive Health     Open Access  
Global Security : Health, Science and Policy     Open Access   (Followers: 1)
Global Transitions     Open Access   (Followers: 1)
Global Transitions Proceedings     Open Access   (Followers: 1)
Globalization and Health     Open Access   (Followers: 7)
Hacia la Promoción de la Salud     Open Access  
Hastane Öncesi Dergisi     Open Access  
Hastings Center Report     Hybrid Journal   (Followers: 7)
HCU Journal     Open Access  
HEADline     Hybrid Journal  
Health & Place     Hybrid Journal   (Followers: 22)
Health & Justice     Open Access   (Followers: 5)
Health : An Interdisciplinary Journal for the Social Study of Health, Illness and Medicine     Hybrid Journal   (Followers: 19)
Health and Human Rights     Open Access   (Followers: 10)
Health and Social Care Chaplaincy     Hybrid Journal   (Followers: 9)
Health and Social Work     Hybrid Journal   (Followers: 63)
Health Behavior and Policy Review     Full-text available via subscription   (Followers: 5)
Health Behavior Research     Open Access   (Followers: 2)
Health Care Analysis     Hybrid Journal   (Followers: 12)
Health Equity     Open Access   (Followers: 4)
Health Information : Jurnal Penelitian     Open Access  
Health Information Management Journal     Hybrid Journal   (Followers: 26)
Health Notions     Open Access  

        1 2 3 4 | Last

Similar Journals
Journal Cover
Frontiers in Neuroergonomics
Number of Followers: 0  

  This is an Open Access Journal Open Access journal
ISSN (Online) 2673-6195
Published by Frontiers Media Homepage  [96 journals]
  • Predictions of task using neural
           modeling|Introduction|Methods|Results|Discussion

    • Authors: Elizabeth L. Fox, Margaret Ugolini, Joseph W. Houpt
      Abstract: IntroductionA well-designed brain-computer interface (BCI) can make accurate and reliable predictions of a user's state through the passive assessment of their brain activity; in turn, BCI can inform an adaptive system (such as artificial intelligence, or AI) to intelligently and optimally aid the user to maximize the human-machine team (HMT) performance. Various groupings of spectro-temporal neural features have shown to predict the same underlying cognitive state (e.g., workload) but vary in their accuracy to generalize across contexts, experimental manipulations, and beyond a single session. In our work we address an outstanding challenge in neuroergonomic research: we quantify if (how) identified neural features and a chosen modeling approach will generalize to various manipulations defined by the same underlying psychological construct, (multi)task cognitive workload.MethodsTo do this, we train and test 20 different support vector machine (SVM) models, each given a subset of neural features as recommended from previous research or matching the capabilities of commercial devices. We compute each model's accuracy to predict which (monitoring, communications, tracking) and how many (one, two, or three) task(s) were completed simultaneously. Additionally, we investigate machine learning model accuracy to predict task(s) within- vs. between-sessions, all at the individual-level.ResultsOur results indicate gamma activity across all recording locations consistently outperformed all other subsets from the full model. Our work demonstrates that modelers must consider multiple types of manipulations which may each influence a common underlying psychological construct.DiscussionWe offer a novel and practical modeling solution for system designers to predict task through brain activity and suggest next steps in expanding our framework to further contribute to research and development in the neuroergonomics community. Further, we quantified the cost in model accuracy should one choose to deploy our BCI approach using a mobile EEG-systems with fewer electrodes—a practical recommendation from our work.
      PubDate: 2022-11-23T00:00:00Z
       
  • Evaluating brain functioning with NIRS in sports: Cerebral oxygenation and
           cortical activation are two sides of the same coin

    • Authors: Stéphane Perrey
      PubDate: 2022-11-18T00:00:00Z
       
  • Functional and neuromuscular changes induced via a low-cost,
           muscle-computer interface for telerehabilitation: A feasibility study in
           chronic stroke

    • Authors: Octavio Marin-Pardo, Miranda Rennie Donnelly, Coralie S. Phanord, Kira Wong, Jessica Pan, Sook-Lei Liew
      Abstract: Stroke is a leading cause of adult disability in the United States. High doses of repeated task-specific practice have shown promising results in restoring upper limb function in chronic stroke. However, it is currently challenging to provide such doses in clinical practice. At-home telerehabilitation supervised by a clinician is a potential solution to provide higher-dose interventions. However, telerehabilitation systems developed for repeated task-specific practice typically require a minimum level of active movement. Therefore, severely impaired people necessitate alternative therapeutic approaches. Measurement and feedback of electrical muscle activity via electromyography (EMG) have been previously implemented in the presence of minimal or no volitional movement to improve motor performance in people with stroke. Specifically, muscle neurofeedback training to reduce unintended co-contractions of the impaired hand may be a targeted intervention to improve motor control in severely impaired populations. Here, we present the preliminary results of a low-cost, portable EMG biofeedback system (Tele-REINVENT) for supervised and unsupervised upper limb telerehabilitation after stroke. We aimed to explore the feasibility of providing higher doses of repeated task-specific practice during at-home training. Therefore, we recruited 5 participants (age = 44–73 years) with chronic, severe impairment due to stroke (Fugl-Meyer = 19–40/66). They completed a 6-week home-based training program that reinforced activity of the wrist extensor muscles while avoiding coactivation of flexor muscles via computer games. We used EMG signals to quantify the contribution of two antagonistic muscles and provide biofeedback of individuated activity, defined as a ratio of extensor and flexor activity during movement attempt. Our data suggest that 30 1-h sessions over 6 weeks of at-home training with our Tele-REINVENT system is feasible and may improve individuated muscle activity as well as scores on standard clinical assessments (e.g., Fugl-Meyer Assessment, Action Research Arm Test, active wrist range of motion) for some individuals. Furthermore, tests of neuromuscular control suggest modest changes in the synchronization of electroencephalography (EEG) and EMG signals within the beta band (12–30 Hz). Finally, all participants showed high adherence to the training protocol and reported enjoying using the system. These preliminary results suggest that using low-cost technology for home-based telerehabilitation after severe chronic stroke is feasible and may be effective in improving motor control via feedback of individuated muscle activity.
      PubDate: 2022-11-17T00:00:00Z
       
  • Delta-Alpha EEG pattern reflects the interoceptive focus effect on
           interpersonal motor synchronization

    • Authors: Laura Angioletti, Michela Balconi
      Abstract: Little is known about how the modulation of the interoceptive focus impacts the neural correlates of high-level social processes, such as synchronization mechanisms. Therefore, the current study aims to explore the intraindividual electrophysiological (EEG) patterns induced by the interoceptive focus on breath when performing cognitive and motor tasks requiring interpersonal synchronization. A sample of 28 healthy caucasian adults was recruited and asked to perform two tasks requiring interpersonal synchronization during two distinct conditions: while focusing on the breath or without the focus on the breath. EEG frequency bands (delta, theta, alpha, and beta band) were recorded from the frontal, temporo-central, and parieto-occipital regions of interest. Significant results were observed for the delta and alpha bands. Notably, higher mean delta values and alpha desynchronization were observed in the temporo-central area during the focus on the breath condition when performing the motor compared to the cognitive synchronization task. Taken together these results could be interpreted considering the functional meaning of delta and alpha band in relation to motor synchronization. Indeed, motor delta oscillations shape the dynamics of motor behaviors and motor neural processes, while alpha band attenuation was previously observed during generation, observation, and imagery of movement and is considered to reflect cortical motor activity and action-perception coupling. Overall, the research shows that an EEG delta-alpha pattern emerges in the temporo-central areas at the intra-individual level, indicating the attention to visceral signals, particularly during interpersonal motor synchrony.
      PubDate: 2022-10-25T00:00:00Z
       
  • P300 as a neural indicator for setting levels of goal scores in
           educational gamification applications from the perspective of intrinsic
           motivation: An ERP study

    • Authors: Hiroki Watanabe, Yasushi Naruse
      Abstract: The challenge level of goal achievement affects intrinsic motivation. Thus, the goal score learners are required to achieve is an important element in gamified educational applications to foster users' intrinsic motivation. However, determining optimal goal scores that enhance the intrinsic motivation of each learner is not easy because individual competence and preferences for the challenge level (e.g., preference for difficult-to-achieve challenges) vary. One approach is to determine the goal score using physiological measurements to estimate when an individual's intrinsic motivation is reinforced. Measurement of event-related potentials (ERPs) is considered useful for this purpose. ERPs time-locked to feedback onset, such as feedback-related negativity and P300, reflect intrinsic motivation. However, it remains unclear whether these ERPs can serve as indicators of optimal goal scores for gamified educational applications in terms of intrinsic motivation. The present study aimed to examine whether ERP measures vary with the challenge levels of the goal score determined by participants' competence (too-easy, moderate and too-hard levels) and/or with their preference for these levels when using a gamified mental arithmetic application. Thirty-three participants solved 64 addition problems in one session in this application and received auditory feedback immediately after each answer entry. Scores were then calculated based on their task performance. Before each session, participants were informed of the goal score and instructed to exceed it as much as possible. Sessions were repeated six times at easy, moderate, and hard levels of goal scores, with two sessions per level. Goal score preferences were quantified based on subjective ratings of the motivation to achieve each level of goal score using a 7-point Likert scale. The mean amplitudes of ERPs were obtained for each participant. Results showed that P300 was significantly related to subjective ratings but not to levels of goal scores, indicating that P300 could be an indicator of participant preference for goal score levels. This study suggests that measurement of P300 may serve as a neural indicator providing an optimal goal score for individual learners that maximizes their intrinsic motivation in gamified learning applications.
      PubDate: 2022-10-21T00:00:00Z
       
  • Robots engage face-processing less strongly than humans

    • Authors: Ali Momen, Kurt Hugenberg, Eva Wiese
      Abstract: Robot faces often differ from human faces in terms of their facial features (e.g., lack of eyebrows) and spatial relationships between these features (e.g., disproportionately large eyes), which can influence the degree to which social brain [i.e., Fusiform Face Area (FFA), Superior Temporal Sulcus (STS); Haxby et al., 2000] areas process them as social individuals that can be discriminated from other agents in terms of their perceptual features and person attributes. Of interest in this work is whether robot stimuli are processed in a less social manner than human stimuli. If true, this could undermine human–robot interactions (HRIs) because human partners could potentially fail to perceive robots as individual agents with unique features and capabilities—a phenomenon known as outgroup homogeneity—potentially leading to miscalibration of trust and errors in allocation of task responsibilities. In this experiment, we use the face inversion paradigm (as a proxy for neural activation in social brain areas) to examine whether face processing differs between human and robot face stimuli: if robot faces are perceived as less face-like than human-faces, the difference in recognition performance for faces presented upright compared to upside down (i.e., inversion effect) should be less pronounced for robot faces than human faces. The results demonstrate a reduced face inversion effect with robot vs. human faces, supporting the hypothesis that robot faces are processed in a less face-like manner. This suggests that roboticists should attend carefully to the design of robot faces and evaluate them based on their ability to engage face-typical processes. Specific design recommendations on how to accomplish this goal are provided in the discussion.
      PubDate: 2022-10-20T00:00:00Z
       
  • Editorial: Understanding brain mechanisms underpinning physical movement
           and exercise

    • Authors: Wei-Peng Teo, Stephane Perrey
      PubDate: 2022-09-16T00:00:00Z
       
  • Does high-definition transcranial direct current stimulation change brain
           electrical activity in professional female basketball players during
           free-throw shooting'

    • Authors: Luciane Aparecida Moscaleski, André Fonseca, Rodrigo Brito, Edgard Morya, Ryland Morgans, Alexandre Moreira, Alexandre Hideki Okano
      Abstract: Differentiated brain activation in high-performance athletes supports neuronal mechanisms relevant to sports performance. Preparation for the motor action involves cortical and sub-cortical regions that can be non-invasively modulated by electrical current stimulation. This study aimed to investigate the effect of high-definition transcranial direct current stimulation (HD-tDCS) on electrical brain activity in professional female basketball players during free-throw shooting. Successful free-throw shooting (n = 2,361) from seven professional female basketball players was analyzed during two experimental conditions (HD-tDCS cathodic and sham) separated by 72 h. Three spectral bio-markers, Power Ratio Index (PRI), Delta Alpha Ratio (DAR), and Theta Beta Ratio (TBR) were measured (electroencephalography [EEG] Brain Products). Multi-channel HD-tDCS was applied for 20 min, considering current location and intensity for cathodic stimulation: FCC1h, AFF5h, AFF1h (−0.5 mA each), and FCC5h (ground). The within EEG analyses (pre and post HD-tDCS) of frontal channels (Fp1, Fp2, F3, F4, FC1, FC3) for 1 second epoch pre-shooting, showed increases in PRI (p < 0.001) and DAR (p < 0.001) for HD-tDCS cathodic condition, and in TBR for both conditions (cathodic, p = 0.01; sham, p = 0.002). Sub-group analysis divided the sample into less (n = 3; LSG) and more (n = 4; MSG) stable free-throw-shooting performers and revealed that increases in pre to post HD-tDCS in PRI only occurred for the LSG. These results suggest that the effect of HD-tDCS may induce changes in slow frontal frequency brain activities and that this alteration seems to be greater for players demonstrating a less stable free-throw shooting performance.
      PubDate: 2022-09-14T00:00:00Z
       
  • Cognitive effects of prolonged continuous human-machine interaction: The
           case for mental state-based adaptive interfaces

    • Authors: Marcel F. Hinss, Anke M. Brock, Raphaëlle N. Roy
      Abstract: Operators of complex systems across multiple domains (e.g., aviation, automotive, and nuclear power industry) are required to perform their tasks over prolonged and continuous periods of time. Mental fatigue as well as reduced cognitive flexibility, attention, and situational awareness all result from prolonged continuous use, putting at risk the safety and efficiency of complex operations. Mental state-based adaptive systems may be a solution to this problem. These systems infer the current mental state of an operator based on a selection of metrics ranging from operator independent measures (e.g., weather and time of day), to behavioral (e.g., reaction time and lane deviation) as well as physiological markers (e.g., electroencephalography and cardiac activity). The interaction between operator and system may then be adapted in one of many ways to mitigate any detected degraded cognitive state, thereby ensuring continued safety and efficiency. Depending on the task at hand and its specific problems, possible adaptations -usually based on machine learning estimations- e.g., include modifications of information, presentation modality or stimuli salience, as well as task scheduling. Research on adaptive systems is at the interface of several domains, including neuroergonomics, human factors, and human-computer interaction in an applied and ecological context, necessitating careful consideration of each of the aforementioned aspects. This article provides an overview of some of the key questions and aspects to be considered by researchers for the design of mental state-based adaptive systems, while also promoting their application during prolonged continuous use to pave the way toward safer and more efficient human-machine interaction.
      PubDate: 2022-08-26T00:00:00Z
       
  • Driver's turning intent recognition model based on brain activation and
           contextual information

    • Authors: Alexander Trende, Anirudh Unni, Mischa Jablonski, Bianca Biebl, Andreas Lüdtke, Martin Fränzle, Jochem W. Rieger
      Abstract: Traffic situations like turning at intersections are destined for safety-critical situations and accidents. Human errors are one of the main reasons for accidents in these situations. A model that recognizes the driver's turning intent could help to reduce accidents by warning the driver or stopping the vehicle before a dangerous turning maneuver. Most models that aim at predicting the probability of a driver's turning intent use only contextual information, such as gap size or waiting time. The objective of this study is to investigate whether the combination of context information and brain activation measurements enhances the recognition of turning intent. We conducted a driving simulator study while simultaneously measuring brain activation using high-density fNIRS. A neural network model for turning intent recognition was trained on the fNIRS and contextual data. The input variables were analyzed using SHAP (SHapley Additive exPlanations) feature importance analysis to show the positive effect of the inclusion of brain activation data. Both the model's evaluation and the feature importance analysis suggest that the combination of context information and brain activation leads to an improved turning intent recognition. The fNIRS results showed increased brain activation differences during the “turn” decision-making phase before turning execution in parts of the left motor cortices, such as the primary motor cortex (PMC; putative BA 4), premotor area (PMA; putative BA 6), and supplementary motor area (SMA; putative BA 8). Furthermore, we also observed increased activation differences in the left prefrontal areas, potentially in the left middle frontal gyrus (putative BA 9), which has been associated with the control of executive functions, such as decision-making and action planning. We hypothesize that brain activation measurements could be a more direct indicator with potentially high specificity for the turning behavior and thus help to increase the recognition model's performance.
      PubDate: 2022-08-16T00:00:00Z
       
  • Bimodal EEG-fNIRS in Neuroergonomics. Current Evidence and Prospects for
           Future Research

    • Authors: Nicolas J. Bourguignon, Salvatore Lo Bue, Carlos Guerrero-Mosquera, Guillermo Borragán
      Abstract: Neuroergonomics focuses on the brain signatures and associated mental states underlying behavior to design human-machine interfaces enhancing performance in the cognitive and physical domains. Brain imaging techniques such as functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG) have been considered key methods for achieving this goal. Recent research stresses the value of combining EEG and fNIRS in improving these interface systems' mental state decoding abilities, but little is known about whether these improvements generalize over different paradigms and methodologies, nor about the potentialities for using these systems in the real world. We review 33 studies comparing mental state decoding accuracy between bimodal EEG-fNIRS and unimodal EEG and fNIRS in several subdomains of neuroergonomics. In light of these studies, we also consider the challenges of exploiting wearable versions of these systems in real-world contexts. Overall the studies reviewed suggest that bimodal EEG-fNIRS outperforms unimodal EEG or fNIRS despite major differences in their conceptual and methodological aspects. Much work however remains to be done to reach practical applications of bimodal EEG-fNIRS in naturalistic conditions. We consider these points to identify aspects of bimodal EEG-fNIRS research in which progress is expected or desired.
      PubDate: 2022-08-12T00:00:00Z
       
  • Editorial: Harnessing physiological synchronization and hyperscanning to
           enhance collaboration and communication

    • Authors: Vesna Dominika Novak, Theodoros Kostoulas, Michal Muszynski, Caterina Cinel, Anton Nijholt
      PubDate: 2022-08-12T00:00:00Z
       
  • Associations of visual functions with attitudes about motor vehicle
           dashboards among older drivers|Purpose|Methods|Results|Conclusions

    • Authors: Thomas A. Swain, Scott W. Snyder, Jr Gerald McGwin, Cynthia Owsley
      Abstract: PurposeProper understanding and interaction with the dashboard is an essential aspect of safely operating a motor vehicle. A portion of this task is dependent on vision, yet no published information exists regarding dashboard ergonomics and visual function. This study sought to associate visual functions and person abilities of dashboard ergonomic dimensions relevant to older driver design preferences and attitudes.MethodsIn this population-based study of drivers, participants completed functional testing for habitual distance visual acuity, contrast sensitivity, visual field sensitivity, visual processing speed, and spatial ability. A questionnaire assessed attitudes and understanding of dashboard design, with questionnaire items generated from the content of focus groups of older drivers. Dashboard design domains identified in Rasch analysis of questionnaire responses were quantified using person ability measures for the cognitive processing, lighting, obstructions, and pattern recognition domains. Visual functions and person abilities were correlated using Spearman partial correlations, adjusting for age and sex.ResultsA total of 997 participants completed functional testing and the dashboard questionnaire. The mean age was 77.4 ± 4.6 years, and the majority were male (55%) and white (81%). The sample had a range of person abilities and visual functions. Contrast and visual field sensitivities were significantly associated with the cognitive processing, lighting, and pattern recognition dashboard design dimensions (p ≤ 0.0052). For all significant associations, increased visual function was indicative of better person ability. Visual processing speed, as measured by Trails B and UFOV2, was significantly associated with the lighting domain (p = 0.0008 and p = 0.0007, respectively). The UFOV2 measure was correlated with pattern recognition (p = 0.0165). Spatial ability was the only visual function associated with the visual obstruction dimension (p = 0.0347).ConclusionsPerson ability for dashboard design domains are related to visual function in older drivers. Results show person ability for domains increased with improved visual function. Future automotive engineering and design initiatives should consider these associations in improving dashboard designs to increase vehicle utility and accessibility.
      PubDate: 2022-08-12T00:00:00Z
       
  • Sensorimotor impairments during spaceflight: Trigger mechanisms and haptic
           assistance

    • Authors: Bernhard Weber, Martin Stelzer
      Abstract: In a few years, manned space missions are planned in which the sensorimotor performance of humans will be of outstanding importance. However, research has repeatedly shown that human sensorimotor function can be impaired under conditions of microgravity. One way to compensate for these impairments is haptic feedback provided by the human-machine interface. In the current series of studies, sensorimotor performance was measured in basic aiming and tracking tasks. These tasks had to be performed using a force feedback joystick with different haptic settings (three spring stiffnesses, two dampings, two virtual masses, and no haptics). In two terrestrial studies, we investigated (1) the effects of cognitive load on performance in a dual-task paradigm (N = 10) and (2) which learning effects can be expected in these tasks in a longitudinal study design (N = 20). In the subsequent space study (N = 3 astronauts), the influence of microgravity and haptic settings of the joystick were investigated. For this purpose, three mission sessions after 2, 4, and 6 weeks on board the International Space Station (ISS), as well as terrestrial pre- and post-flight sessions, were conducted. The results of the studies indicated that (1) additional cognitive load led to longer reaction times during aiming and increased tracking error while aiming precision was not affected. (2) Significant learning effects were evident for most measures in the study on time effects. (3) Contrary to the expected learning trend, microgravity impaired the aiming precision performance of all astronauts in the initial phase of adaptation (2 weeks in space). No other significant effects were found. Intriguingly, these performance decrements could be compensated for with low to medium spring stiffness and virtual mass. The general result pattern provides further evidence that distorted proprioception during early adaptation to microgravity conditions is one main mechanism underlying sensorimotor impairment.
      PubDate: 2022-08-11T00:00:00Z
       
  • A Systematic Review of Visualization Techniques and Analysis Tools for
           Eye-Tracking in 3D Environments

    • Authors: Veronica Sundstedt, Valeria Garro
      Abstract: This systematic literature review presents an update on developments in 3D visualization techniques and analysis tools for eye movement data in 3D environments. With the introduction of affordable and non-intrusive eye-tracking solutions to the mass market, access to users' gaze is now increasingly possible. As a result, the adoption of eye-tracking in virtual environments using head-mounted displays is expected to increase since the trend is to incorporate gaze tracking as part of new technical solutions. The systematic literature review presented in this paper was conducted using the Scopus database (using the period 2017 to 17th of May 2022), which after analysis, resulted in the inclusion of 15 recent publications with relevance in eye-tracking visualization techniques for 3D virtual scenes. First, this paper briefly describes the foundations of eye-tracking and traditional 2D visualization techniques. As background, we also list earlier 3D eye-tracking visualization techniques identified in a previous review. Next, the systematic literature review presents the method used to acquire the included papers and a description of these in terms of eye-tracking technology, observed stimuli, application context, and type of 3D gaze visualization techniques. We then discuss the overall findings, including opportunities, challenges, trends, and present ideas for future directions. Overall the results show that eye-tracking in immersive virtual environments is on the rise and that more research and developments are needed to create novel and improved technical solutions for 3D gaze analysis.
      PubDate: 2022-07-13T00:00:00Z
       
  • Predicting the Degree of Distracted Driving Based on fNIRS Functional
           Connectivity: A Pilot Study

    • Authors: Takahiko Ogihara, Kensuke Tanioka, Tomoyuki Hiroyasu, Satoru Hiwa
      Abstract: Distracted driving is one of the main causes of traffic accidents. By predicting the attentional state of drivers, it is possible to prevent distractions and promote safe driving. In this study, we developed a model that could predict the degree of distracted driving based on brain activity. Changes in oxyhemoglobin concentrations were measured in drivers while driving a real car using functional near-infrared spectroscopy (fNIRS). A regression model was constructed for each participant using functional connectivity as an explanatory variable and brake reaction time to random beeps while driving as an objective variable. As a result, we were able to construct a prediction model with the mean absolute error of 5.58 × 102 ms for the BRT of the 12 participants. Furthermore, the regression model with the highest prediction accuracy for each participant was analyzed to gain a better understanding of the neural basis of distracted driving. The 11 of 12 models that showed significant accuracy were classified into five clusters by hierarchical clustering based on their functional connectivity edges used in each cluster. The results showed that the combinations of the dorsal attention network (DAN)-sensory-motor network (SMN) and DAN-ventral attention network (VAN) connections were common in all clusters and that these networks were essential to predict the degree of distraction in complex multitask driving. They also confirmed the existence of multiple types of prediction models with different within- and between-network connectivity patterns. These results indicate that it is possible to predict the degree of distracted driving based on the driver's brain activity during actual driving. These results are expected to contribute to the development of safe driving systems and elucidate the neural basis of distracted driving.
      PubDate: 2022-07-08T00:00:00Z
       
  • Misleading Robot Signals in a Classification Task Induce Cognitive Load as
           Measured by Theta Synchronization Between Frontal and Temporo-parietal
           Brain Regions

    • Authors: Abdulaziz Abubshait, Lorenzo Parenti, Jairo Perez-Osorio, Agnieszka Wykowska
      Abstract: As technological advances progress, we find ourselves in situations where we need to collaborate with artificial agents (e.g., robots, autonomous machines and virtual agents). For example, autonomous machines will be part of search and rescue missions, space exploration and decision aids during monitoring tasks (e.g., baggage-screening at the airport). Efficient communication in these scenarios would be crucial to interact fluently. While studies examined the positive and engaging effect of social signals (i.e., gaze communication) on human-robot interaction, little is known about the effects of conflicting robot signals on the human actor's cognitive load. Moreover, it is unclear from a social neuroergonomics perspective how different brain regions synchronize or communicate with one another to deal with the cognitive load induced by conflicting signals in social situations with robots. The present study asked if neural oscillations that correlate with conflict processing are observed between brain regions when participants view conflicting robot signals. Participants classified different objects based on their color after a robot (i.e., iCub), presented on a screen, simulated handing over the object to them. The robot proceeded to cue participants (with a head shift) to the correct or incorrect target location. Since prior work has shown that unexpected cues can interfere with oculomotor planning and induces conflict, we expected that conflicting robot social signals which would interfere with the execution of actions. Indeed, we found that conflicting social signals elicited neural correlates of cognitive conflict as measured by mid-brain theta oscillations. More importantly, we found higher coherence values between mid-frontal electrode locations and posterior occipital electrode locations in the theta-frequency band for incongruent vs. congruent cues, which suggests that theta-band synchronization between these two regions allows for communication between cognitive control systems and gaze-related attentional mechanisms. We also find correlations between coherence values and behavioral performance (Reaction Times), which are moderated by the congruency of the robot signal. In sum, the influence of irrelevant social signals during goal-oriented tasks can be indexed by behavioral, neural oscillation and brain connectivity patterns. These data provide insights about a new measure for cognitive load, which can also be used in predicting human interaction with autonomous machines.
      PubDate: 2022-07-01T00:00:00Z
       
  • Opportunities and Limitations of a Gaze-Contingent Display to Simulate
           Visual Field Loss in Driving Simulator
           Studies|Background|Methods|Results|Conclusion

    • Authors: Bianca Biebl, Elena Arcidiacono, Severin Kacianka, Jochem W. Rieger, Klaus Bengler
      Abstract: BackgroundResearch on task performance under visual field loss is often limited due to small and heterogenous samples. Simulations of visual impairments hold the potential to account for many of those challenges. Digitally altered pictures, glasses, and contact lenses with partial occlusions have been used in the past. One of the most promising methods is the use of a gaze-contingent display that occludes parts of the visual field according to the current gaze position. In this study, the gaze-contingent paradigm was implemented in a static driving simulator to simulate visual field loss and to evaluate parallels in the resulting driving and gaze behavior in comparison to patients.MethodsThe sample comprised 15 participants without visual impairment. All the subjects performed three drives: with full vision, simulated left-sided homonymous hemianopia, and simulated right-sided homonymous hemianopia, respectively. During each drive, the participants drove through an urban environment where they had to maneuver through intersections by crossing straight ahead, turning left, and turning right.ResultsThe subjects reported reduced safety and increased workload levels during simulated visual field loss, which was reflected in reduced lane position stability and greater absence of large gaze movements. Initial compensatory strategies could be found concerning a dislocated gaze position and a distorted fixation ratio toward the blind side, which was more pronounced for right-sided visual field loss. During left-sided visual field loss, the participants showed a smaller horizontal range of gaze positions, longer fixation durations, and smaller saccadic amplitudes compared to right-sided homonymous hemianopia and, more distinctively, compared to normal vision.ConclusionThe results largely mirror reports from driving and visual search tasks under simulated and pathological homonymous hemianopia concerning driving and scanning challenges, initially adopted compensatory strategies, and driving safety. This supports the notion that gaze-contingent displays can be a useful addendum to driving simulator research with visual impairments if the results are interpreted considering methodological limitations and inherent differences to the pathological impairment.
      PubDate: 2022-06-10T00:00:00Z
       
  • Decreased Exercise-Induced Changes in Prefrontal Cortex Hemodynamics Are
           Associated With Depressive Symptoms

    • Authors: James Crum, Flaminia Ronca, George Herbert, Sabina Funk, Estela Carmona, Uzair Hakim, Isla Jones, Mark Hamer, Joy Hirsch, Antonia Hamilton, Ilias Tachtsidis, Paul W. Burgess
      Abstract: People with a depressed mood tend to perform poorly on executive function tasks, which require much of the prefrontal cortex (PFC), an area of the brain which has also been shown to be hypo-active in this population. Recent research has suggested that these aspects of cognition might be improved through physical activity and cognitive training. However, whether the acute effects of exercise on PFC activation during executive function tasks vary with depressive symptoms remains unclear. To investigate these effects, 106 participants were given a cardiopulmonary exercise test (CPET) and were administered a set of executive function tests directly before and after the CPET assessment. The composite effects of exercise on the PFC (all experimental blocks) showed bilateral activation changes in dorsolateral (BA46/9) and ventrolateral (BA44/45) PFC, with the greatest changes occurring in rostral PFC (BA10). The effects observed in right ventrolateral PFC varied depending on level of depressive symptoms (13% variance explained); the changes in activation were less for higher levels. There was also a positive relationship between CPET scores (VO2peak) and right rostral PFC, in that greater activation changes in right BA10 were predictive of higher levels of aerobic fitness (9% variance explained). Since acute exercise ipsilaterally affected this PFC subregion and the inferior frontal gyrus during executive function tasks, this suggests physical activity might benefit the executive functions these subregions support. And because physical fitness and depressive symptoms explained some degree of cerebral upregulation to these subregions, physical activity might more specifically facilitate the engagement of executive functions that are typically associated with hypoactivation in depressed populations. Future research might investigate this possibility in clinical populations, particularly the neural effects of physical activity used in combination with mental health interventions.
      PubDate: 2022-05-20T00:00:00Z
       
  • Causal Analysis of Activity in Social Brain Areas During Human-Agent
           Conversation

    • Authors: Caio De Castro Martins, Thierry Chaminade, Marc Cavazza
      Abstract: This article investigates the differences in cognitive and neural mechanisms between human-human and human-virtual agent interaction using a dataset recorded in an ecologically realistic environment. We use Convergent Cross Mapping (CCM) to investigate functional connectivity between pairs of regions involved in the framework of social cognitive neuroscience, namely the fusiform gyrus, superior temporal sulcus (STS), temporoparietal junction (TPJ), and the dorsolateral prefrontal cortex (DLPFC)—taken as prefrontal asymmetry. Our approach is a compromise between investigating local activation in specific regions and investigating connectivity networks that may form part of larger networks. In addition to concording with previous studies, our results suggest that the right TPJ is one of the most reliable areas for assessing processes occurring during human-virtual agent interactions, both in a static and dynamic sense.
      PubDate: 2022-05-17T00:00:00Z
       
 
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