Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/87711
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Building and Real Estateen_US
dc.creatorLi, Jen_US
dc.creatorLi, Hen_US
dc.creatorWang, Hen_US
dc.creatorUmer, Wen_US
dc.creatorFu, Hen_US
dc.creatorXing, Xen_US
dc.date.accessioned2020-07-30T03:00:52Z-
dc.date.available2020-07-30T03:00:52Z-
dc.identifier.issn0926-5805en_US
dc.identifier.urihttp://hdl.handle.net/10397/87711-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2019 Elsevier B.V. All rights reserved.en US
dc.rights© 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.en US
dc.rightsThe following publication Li, J., Li, H., Wang, H., Umer, W., Fu, H., & Xing, X. (2019). Evaluating the impact of mental fatigue on construction equipment operators' ability to detect hazards using wearable eye-tracking technology. Automation in Construction, 105, 102835 is available at https://dx.doi.org/10.1016/j.autcon.2019.102835.en US
dc.subjectConstruction equipment operatoren_US
dc.subjectMental fatigueen_US
dc.subjectHazard detectionen_US
dc.subjectWearable eye-tracking technologyen_US
dc.subjectAttentionen_US
dc.subjectCollision accidenten_US
dc.titleEvaluating the impact of mental fatigue on construction equipment operators' ability to detect hazards using wearable eye-tracking technologyen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1en_US
dc.identifier.epage14en_US
dc.identifier.doi10.1016/j.autcon.2019.102835en_US
dcterms.abstractConstruction equipment related accidents, such as collisions between equipment and pedestrian workers, pose a major challenge to occupational safety at construction sites. Decrement of operators' hazard detection ability resulting from attention failure is a leading cause of these accidents. Although mental fatigue induced by prolonged and monotonous operating tasks is known as the primary cause of this type of failure, little is revealed on how mental fatigue influences operators' ability to detect hazardous situations and associated visual attention features. To address this issue, this study uses wearable eye-tracking technology to evaluate the impact of mental fatigue on operators' ability in hazard detection and the corresponding patterns of visual attention allocation. Twelve healthy participants performed a simulated excavator operating task in a laboratory experiment. Subjective mental fatigue assessment, hazard detection task performance, and eye movement metrics were recorded and analyzed. In the experiment, mental fatigue was effectively induced and manipulated by a Time-On-Operating (TOO) procedure. Results revealed that operators' hazard detection ability decreased with the increase in subjective mental fatigue level, reflected by significant increases in reaction time for hazards and the number of misdetections. Attention allocation-related data were further analyzed to explain the specific manifestations of hazard detection failure in visual attention. The results indicated that the decrease of operators' hazard detection ability is associated with the changes of the distributions of fixation and gaze point while mental fatigue level increases. Consequently, clear observation of surrounding hazards and related details becomes difficult for operators. The findings demonstrate the effectiveness of wearable eye-tracking technology in measuring and quantifying operators' mental fatigue and hazard detection ability. More importantly, the findings offer insights into the impairing effect of mental fatigue on operators' hazard detection ability from a visual attention perspective. Such insights provide a solid basis for developing effective safety interventions and attentional guidance-based safety training methods to mitigate relevant site accidents.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationAutomation in construction, Sept. 2019, v. 105, 102835, p. 1-14en_US
dcterms.isPartOfAutomation in constructionen_US
dcterms.issued2019-09-
dc.identifier.eissn1872-7891en_US
dc.description.validate202007 bcrcen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera0451-n02en_US
dc.description.pubStatusPublisheden_US
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
Li_Mental_Fatigue_Operators.pdfPre-Published version1.74 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Final Accepted Manuscript
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

174
Last Week
2
Last month
Citations as of Apr 21, 2024

Downloads

459
Citations as of Apr 21, 2024

SCOPUSTM   
Citations

83
Citations as of Apr 19, 2024

WEB OF SCIENCETM
Citations

71
Citations as of Apr 25, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.