Visual attention and cognitive process in construction hazard recognition: Study of fixation-related potential

[1]  D. Fang,et al.  Perceptual decision-making 'in the wild': How risk propensity and injury exposure experience influence the neural signatures of occupational hazard recognition. , 2022, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[2]  P-C. Liao,et al.  EEG-based work experience prediction using hazard recognition , 2022, Automation in Construction.

[3]  JungHo Jeon,et al.  Classification of construction hazard-related perceptions using: Wearable electroencephalogram and virtual reality , 2021, Automation in Construction.

[4]  Paul M. Goodrum,et al.  Evidence of inconsistent results using current eye tracking glance and visit analysis standards , 2021, Automation in Construction.

[5]  Mojtaba Noghabaei,et al.  Feasibility Study to Identify Brain Activity and Eye-Tracking Features for Assessing Hazard Recognition Using Consumer-Grade Wearables in an Immersive Virtual Environment , 2021 .

[6]  Xiaowei Luo,et al.  Monitoring distraction of construction workers caused by noise using a wearable Electroencephalography (EEG) device , 2021 .

[7]  Qi Zhu,et al.  The impact of engineering information format on task performance: Gaze scanning pattern analysis , 2020, Adv. Eng. Informatics.

[8]  Dan Zhang,et al.  Investigation of interaction among factors underlying construction hazard identification , 2020 .

[9]  C. W. Wang,et al.  Extraction of parameters for lane change intention based on driver’s gaze transfer characteristics , 2020 .

[10]  Simon P Liversedge,et al.  Eye Movements and Fixation-Related Potentials in Reading: A Review , 2020, Vision.

[11]  Ruosong Chang,et al.  The effect of situational hazard level on pedestrian hazard perception: Evidence from event-related potentials , 2020, Neuroscience Letters.

[12]  Pin-Chao Liao,et al.  Exploring eye-tracking searching strategies for construction hazard recognition in a laboratory scene , 2019 .

[13]  Pin-Chao Liao,et al.  Influence of visual clutter on the effect of navigated safety inspection: a case study on elevator installation , 2019, International journal of occupational safety and ergonomics : JOSE.

[14]  Hong Fu,et al.  Evaluating the impact of mental fatigue on construction equipment operators' ability to detect hazards using wearable eye-tracking technology , 2019, Automation in Construction.

[15]  Qingwen Xu,et al.  Collaborative information integration for construction safety monitoring , 2019, Automation in Construction.

[16]  Tim H. W. Cornelissen,et al.  Improving free-viewing fixation-related EEG potentials with continuous-time regression , 2019, Journal of Neuroscience Methods.

[17]  Qingguo Ma,et al.  The Hazard Perception for the Surrounding Shape of Warning Signs: Evidence From an Event-Related Potentials Study , 2018, Front. Neurosci..

[18]  E. Salinas,et al.  Saccade metrics reflect decision-making dynamics during urgent choices , 2018, Nature Communications.

[19]  Michael D. Dodd,et al.  Examining the Relationship between Construction Workers’ Visual Attention and Situation Awareness under Fall and Tripping Hazard Conditions: Using Mobile Eye Tracking , 2018 .

[20]  Xiaobing Wu,et al.  Monitoring workers' attention and vigilance in construction activities through a wireless and wearable electroencephalography system , 2017 .

[21]  Michael D. Dodd,et al.  Measuring the Impacts of Safety Knowledge on Construction Workers' Attentional Allocation and Hazard Detection Using Remote Eye-Tracking Technology , 2017 .

[22]  D. Tanner,et al.  How right is left? Handedness modulates neural responses during morphosyntactic processing , 2017, Brain Research.

[23]  Chenggang Zhang,et al.  A crucial temporal accuracy test of combining EEG and Tobii eye tracker , 2017, Medicine.

[24]  Cees van Leeuwen,et al.  Combining EEG and eye movement recording in free viewing: Pitfalls and possibilities , 2016, Brain and Cognition.

[25]  Chin-Teng Lin,et al.  Using eye-tracker to compare search patterns between experienced and novice workers for site hazard identification , 2016 .

[26]  Peter de Lissa,et al.  Measuring the face-sensitive N170 with a gaming EEG system: A validation study , 2015, Journal of Neuroscience Methods.

[27]  Nathalie Guyader,et al.  An eye fixation-related potentials analysis of the P300 potential for fixations onto a target object when exploring natural scenes. , 2015, Journal of vision.

[28]  Michael D. Dodd,et al.  Measuring construction workers attention using eye-tracking technology , 2015 .

[29]  Thierry Baccino,et al.  Affective processing in natural scene viewing: Valence and arousal interactions in eye-fixation-related potentials , 2015, NeuroImage.

[30]  Ryad Titah,et al.  Precision is in the Eye of the Beholder: Application of Eye Fixation-Related Potentials to Information Systems Research , 2014, J. Assoc. Inf. Syst..

[31]  Mariano Sigman,et al.  Looking for a face in the crowd: Fixation-related potentials in an eye-movement visual search task , 2014, NeuroImage.

[32]  M. Arns,et al.  P300 Development across the Lifespan: A Systematic Review and Meta-Analysis , 2014, PloS one.

[33]  Christa Neuper,et al.  Sequential effects in continued visual search: Using fixation-related potentials to compare distractor processing before and after target detection , 2014, Psychophysiology.

[34]  Hae-Young Kim,et al.  Analysis of variance (ANOVA) comparing means of more than two groups , 2014, Restorative dentistry & endodontics.

[35]  Boris Reuderink,et al.  Distinguishing between target and nontarget fixations in a visual search task using fixation-related potentials. , 2013, Journal of vision.

[36]  Yue-Jia Luo,et al.  The Time Course of the Influence of Valence and Arousal on the Implicit Processing of Affective Pictures , 2012, PloS one.

[37]  Dan J. Graham,et al.  Location, location, location: eye-tracking evidence that consumers preferentially view prominently positioned nutrition information. , 2011, Journal of the American Dietetic Association.

[38]  A. Jacobs,et al.  Coregistration of eye movements and EEG in natural reading: analyses and review. , 2011, Journal of experimental psychology. General.

[39]  T. Talhelm,et al.  Gender differences in visual reflexive attention shifting: Evidence from an ERP study , 2011, Brain Research.

[40]  Cees van Leeuwen,et al.  Eye fixation-related potentials in free viewing identify encoding failures in change detection , 2011, NeuroImage.

[41]  Thierry Baccino,et al.  Eye fixation–related potentials (EFRPs) during object identification , 2010, Visual Neuroscience.

[42]  Oguz Findik,et al.  Effects of principle component analysis on assessment of coronary artery diseases using support vector machine , 2010, Expert Syst. Appl..

[43]  M. Gamer,et al.  Task relevance and recognition of concealed information have different influences on electrodermal activity and event-related brain potentials. , 2010, Psychophysiology.

[44]  C. Jacques,et al.  The initial representation of individual faces in the right occipito-temporal cortex is holistic: electrophysiological evidence from the composite face illusion. , 2009, Journal of vision.

[45]  David E. J. Linden,et al.  Working Memory Load for Faces Modulates P300, N170, and N250r , 2008, Journal of Cognitive Neuroscience.

[46]  Yuanzhen Li,et al.  Measuring visual clutter. , 2007, Journal of vision.

[47]  Salil H. Patel,et al.  Characterization of N200 and P300: Selected Studies of the Event-Related Potential , 2005, International journal of medical sciences.

[48]  Bruce D. McCandliss,et al.  Fast, visual specialization for reading in English revealed by the topography of the N170 ERP response , 2005, Behavioral and Brain Functions.

[49]  M. Eimer,et al.  The processing of emotional facial expression is gated by spatial attention: evidence from event-related brain potentials. , 2003, Brain research. Cognitive brain research.

[50]  E. Donchin,et al.  The influence of stimulus deviance and novelty on the P300 and novelty P3. , 2002, Psychophysiology.

[51]  E. Vogel,et al.  The visual N1 component as an index of a discrimination process. , 2000, Psychophysiology.

[52]  J. Polich,et al.  P300 and handedness: on the possible contribution of corpus callosal size to ERPs. , 1998, Psychophysiology.

[53]  Pin-Chao Liao,et al.  A multimodal study to measure the cognitive demands of hazard recognition in construction workplaces , 2021 .

[54]  Alex Albert,et al.  Are Visual Search Patterns Predictive of Hazard Recognition Performance? Empirical Investigation Using Eye-Tracking Technology , 2019, Journal of Construction Engineering and Management.