Evaluating the impact of mental fatigue on construction equipment operators' ability to detect hazards using wearable eye-tracking technology
Construction 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. Al...
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description | Construction 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.
•Mental fatigue induced by prolonged operating task is assessed by utilizing wearable eye tracker.•The decrement of hazard detection ability is quantified using eye movement metrics.•The impairing eff |
doi_str_mv | 10.1016/j.autcon.2019.102835 |
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•Mental fatigue induced by prolonged operating task is assessed by utilizing wearable eye tracker.•The decrement of hazard detection ability is quantified using eye movement metrics.•The impairing effect of mental fatigue on operators' ability to detect hazard was found.•Interventions and training methods have been discussed to reduce hazard detection failures.</description><identifier>ISSN: 0926-5805</identifier><identifier>EISSN: 1872-7891</identifier><identifier>DOI: 10.1016/j.autcon.2019.102835</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Attention ; Collision accident ; Construction equipment ; Construction equipment operator ; Construction site accidents ; Crack propagation ; Excavators ; Eye movements ; Failure analysis ; Fatigue ; Hazard detection ; Hazards ; Mental fatigue ; Occupational safety ; Operators ; Reaction time ; Technology assessment ; Tracking devices ; Traffic safety ; Wearable eye-tracking technology ; Wearable technology</subject><ispartof>Automation in construction, 2019-09, Vol.105, p.102835, Article 102835</ispartof><rights>2019 Elsevier B.V.</rights><rights>Copyright Elsevier BV Sep 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c446t-71733ac5f1afd1d5759d0efec2abb804cd1ce174cca3d0324c7b819999a377373</citedby><cites>FETCH-LOGICAL-c446t-71733ac5f1afd1d5759d0efec2abb804cd1ce174cca3d0324c7b819999a377373</cites><orcidid>0000-0002-3187-9041 ; 0000-0003-2246-7552 ; 0000-0003-2419-4172</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0926580518312792$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Li, Jue</creatorcontrib><creatorcontrib>Li, Heng</creatorcontrib><creatorcontrib>Wang, Hongwei</creatorcontrib><creatorcontrib>Umer, Waleed</creatorcontrib><creatorcontrib>Fu, Hong</creatorcontrib><creatorcontrib>Xing, Xuejiao</creatorcontrib><title>Evaluating the impact of mental fatigue on construction equipment operators' ability to detect hazards using wearable eye-tracking technology</title><title>Automation in construction</title><description>Construction 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.
•Mental fatigue induced by prolonged operating task is assessed by utilizing wearable eye tracker.•The decrement of hazard detection ability is quantified using eye movement metrics.•The impairing effect of mental fatigue on operators' ability to detect hazard was found.•Interventions and training methods have been discussed to reduce hazard detection failures.</description><subject>Attention</subject><subject>Collision accident</subject><subject>Construction equipment</subject><subject>Construction equipment operator</subject><subject>Construction site accidents</subject><subject>Crack propagation</subject><subject>Excavators</subject><subject>Eye movements</subject><subject>Failure analysis</subject><subject>Fatigue</subject><subject>Hazard detection</subject><subject>Hazards</subject><subject>Mental fatigue</subject><subject>Occupational safety</subject><subject>Operators</subject><subject>Reaction time</subject><subject>Technology assessment</subject><subject>Tracking devices</subject><subject>Traffic safety</subject><subject>Wearable eye-tracking technology</subject><subject>Wearable technology</subject><issn>0926-5805</issn><issn>1872-7891</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9kMtO4zAUhq0RSFMY3mAWlljMKsWOkzjZII0qblIlNrC2TuyT1p00DrYDKu8w74xLWOON5eP_ovMR8puzJWe8utotYYraDcuc8SaN8lqUP8iC1zLPZN3wE7JgTV5lZc3Kn-QshB1jTLKqWZD_N6_QTxDtsKFxi9TuR9CRuo7ucYjQ0y79bSakbqCpIUQ_6WjTA18mOx411I3oITof_lBobW_jgUZHDUZMQVt4B28CncKx4Q3BQ9sjxQNm0YP-99mLeju43m0Ov8hpB33Ai6_7nDzf3jyt7rP1493D6u8600VRxUxyKQTosuPQGW5KWTaGYYc6h7atWaEN18hloTUIw0ReaNnWvEkHhJRCinNyOeeO3r1MGKLauckPqVLledmIouEVS6piVmnvQvDYqdHbPfiD4kwdwaudmsGrI3g1g0-269mGaYNXi14FbXHQaKxPSJRx9vuAD7Kpkes</recordid><startdate>201909</startdate><enddate>201909</enddate><creator>Li, Jue</creator><creator>Li, Heng</creator><creator>Wang, Hongwei</creator><creator>Umer, Waleed</creator><creator>Fu, Hong</creator><creator>Xing, Xuejiao</creator><general>Elsevier B.V</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0002-3187-9041</orcidid><orcidid>https://orcid.org/0000-0003-2246-7552</orcidid><orcidid>https://orcid.org/0000-0003-2419-4172</orcidid></search><sort><creationdate>201909</creationdate><title>Evaluating the impact of mental fatigue on construction equipment operators' ability to detect hazards using wearable eye-tracking technology</title><author>Li, Jue ; Li, Heng ; Wang, Hongwei ; Umer, Waleed ; Fu, Hong ; Xing, Xuejiao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c446t-71733ac5f1afd1d5759d0efec2abb804cd1ce174cca3d0324c7b819999a377373</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Attention</topic><topic>Collision accident</topic><topic>Construction equipment</topic><topic>Construction equipment operator</topic><topic>Construction site accidents</topic><topic>Crack propagation</topic><topic>Excavators</topic><topic>Eye movements</topic><topic>Failure analysis</topic><topic>Fatigue</topic><topic>Hazard detection</topic><topic>Hazards</topic><topic>Mental fatigue</topic><topic>Occupational safety</topic><topic>Operators</topic><topic>Reaction time</topic><topic>Technology assessment</topic><topic>Tracking devices</topic><topic>Traffic safety</topic><topic>Wearable eye-tracking technology</topic><topic>Wearable technology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Jue</creatorcontrib><creatorcontrib>Li, Heng</creatorcontrib><creatorcontrib>Wang, Hongwei</creatorcontrib><creatorcontrib>Umer, Waleed</creatorcontrib><creatorcontrib>Fu, Hong</creatorcontrib><creatorcontrib>Xing, Xuejiao</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Automation in construction</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Jue</au><au>Li, Heng</au><au>Wang, Hongwei</au><au>Umer, Waleed</au><au>Fu, Hong</au><au>Xing, Xuejiao</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluating the impact of mental fatigue on construction equipment operators' ability to detect hazards using wearable eye-tracking technology</atitle><jtitle>Automation in construction</jtitle><date>2019-09</date><risdate>2019</risdate><volume>105</volume><spage>102835</spage><pages>102835-</pages><artnum>102835</artnum><issn>0926-5805</issn><eissn>1872-7891</eissn><abstract>Construction 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.
•Mental fatigue induced by prolonged operating task is assessed by utilizing wearable eye tracker.•The decrement of hazard detection ability is quantified using eye movement metrics.•The impairing effect of mental fatigue on operators' ability to detect hazard was found.•Interventions and training methods have been discussed to reduce hazard detection failures.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/j.autcon.2019.102835</doi><orcidid>https://orcid.org/0000-0002-3187-9041</orcidid><orcidid>https://orcid.org/0000-0003-2246-7552</orcidid><orcidid>https://orcid.org/0000-0003-2419-4172</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Attention Collision accident Construction equipment Construction equipment operator Construction site accidents Crack propagation Excavators Eye movements Failure analysis Fatigue Hazard detection Hazards Mental fatigue Occupational safety Operators Reaction time Technology assessment Tracking devices Traffic safety Wearable eye-tracking technology Wearable technology |
title | Evaluating the impact of mental fatigue on construction equipment operators' ability to detect hazards using wearable eye-tracking technology |
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