Automating and scaling personalized safety training using eye-tracking data

Jeelani, Idris; Han, Kevin; Albert, Alex

doi:10.1016/j.autcon.2018.05.006

Cited by 93 publications

(45 citation statements)

References 55 publications

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“…Virtual or computer vision technologies (Seo et al, 2015;Zuluaga and Albert, 2018;Shi et al, 2019) are gaining the momentum to support construction safety research. Eye-tracking devices or apparatus have been adopted in several recent studies (Dzeng et al, 2016;Jeelani et al, 2018;Li et al, 2019) to evaluate employees' safety hazard detection or recognition performance. Eye-tracking provides an objective measurement of stimuli when subjects receive attention during visual search activities (Jeelani et al, 2018).…”

Section: Eye Tracking Technology As the Research Platform For Construmentioning

confidence: 99%

“…One of the visualization technologies that have been adopted in evaluating employees' safety hazard detection is eye-tracking. A limited number of existing studies (e.g., Jeelani et al, 2018;Li et al, 2019) captured the eye-tracking data from experimental participants' visual search track, and analyzed the effects of personal traits (e.g., mental state) on employees' hazard detection performance. As utilizing eye-tracking technology for safety education or cognitive training is still in the early stage, various factors that affect employees' safety detection performance remain unexplored, such as different site conditions (e.g., lighting condition, site tidiness, etc).…”

Section: Introductionmentioning

confidence: 99%

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Eye-Tracking Experimental Study Investigating the Influence Factors of Construction Safety Hazard Recognition

Han

Yin

Zhang

et al. 2020

J. Constr. Eng. Manage.

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Section: Eye Tracking Technology As the Research Platform For Construmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Eye-Tracking Experimental Study Investigating the Influence Factors of Construction Safety Hazard Recognition

Han

Yin

Zhang

et al. 2020

J. Constr. Eng. Manage.

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“…The utilization of computer vision technology in construction jobsites can be categorized into four classes regarding the main purpose of application, namely progress monitoring, quality control, operational productivity analysis [4][5][6][7] (which is to what extent onsite resources are being utilized) and safety assurance [8][9][10][11][12]. Combination of multiple purposes was achieved in some researches [13,14].…”

Section: Computer Vision In Construction Phasementioning

confidence: 99%

“…Combination of computer vision and other state-ofthe-art technology is also emerging. For example, Jeelani, I., et al [10] utilized eye-tracking techniques to obtain workers' viewing patterns, which was then integrated into a computer-vision-based localization system to indicate workers' ability to recognize onsite hazards.…”

Section: Computer Vision In Construction Phasementioning

confidence: 99%

Computer Vision Techniques in Construction, Operation and Maintenance Phases of Civil Assets: A Critical Review

Xu¹,

Wang²,

Wang³

et al. 2019

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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Throughout the life cycle of civil assets, construction, operation and maintenance phases require monitoring to assure reasonable decision makings. Current methods always involve speciallyassigned personnel conducting on-site inspections, which are work-intensive, time-consuming and errorprone. Computer vision, as a powerful alternative to manual inspection, has been extensively studied during the past decades. On the basis of existing summary papers, this paper reviews a wide range of literatures, including journal articles, conference proceedings and other resources. Current applications of computer vision during construction, operation and maintenance stages of civil structures are concluded, with a special focus on operation and maintenance phase. This review aims to provide a comprehensive insight about the utilization of computer vision in civil engineering and an inspiring guidance for future research.

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“…It is especially so in developing countries where workplace safety is a major area of concern because of the lack of safety regulations [15]. Therefore, identifying such unsafe acts and conditions is the first step in taking action to eliminate them, minimize the risk of work-related injuries or illnesses and prevent further accidents [16].…”

Section: Introductionmentioning

confidence: 99%

A randomised controlled trial of an educational intervention to promote safe behaviours in petrochemical workers: a study protocol

et al. 2019

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Background The worldwide concern about safety has created a need for new and effective strategies to improve safety in the workplace. Based on reported studies, approximately 90% of workplace accidents are due to unsafe behaviour and human error. Therefore, the most important strategy in reducing the rate of these accidents is training workers regarding safe behaviour and avoiding human error. There is limited research on understanding the barriers to promoting safe behaviour amongst petrochemical workers. This paper presents a protocol for an intervention study, using training sessions in combination with an educational software (application). The intervention aims to both promote workers’ safe behaviour and reduce the rate of occupational accidents. Methods One hundred seventy-six workers will be recruited to this study from an Iranian petrochemical industry. The study is Mixed Methods Research (MMR) which will be carried out in two phases. In the first phase, using a qualitative approach, in-depth interviews will identify the causes of unsafe behaviour in the petrochemical industry. In the second phase, models of safe behaviour used in workplaces and the petrochemical industry will be investigated. The findings of the first phase will be matched with the constructs of these models to produce a well-suited conceptual model. Questionnaires and an educational intervention will be designed based on the results of the two phases. The workers will receive training interventions using direct methods, involving training sessions and workshops, and in an indirect method for which educational software will be designed. A randomised controlled trial (RCT) will assess comparability between the intervention group and the control group at baseline, after the intervention, and at a three-month follow up. Discussion This research will provide a practical approach for promoting safe behaviours and reducing occupational hazards amongst industrial workers. Trial registration Iranian Registry of Clinical Trials: IRCT20170515033981N2 . Registered 19 June 2018.

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Automating and scaling personalized safety training using eye-tracking data

Cited by 93 publications

References 55 publications

Eye-Tracking Experimental Study Investigating the Influence Factors of Construction Safety Hazard Recognition

Eye-Tracking Experimental Study Investigating the Influence Factors of Construction Safety Hazard Recognition

Computer Vision Techniques in Construction, Operation and Maintenance Phases of Civil Assets: A Critical Review

A randomised controlled trial of an educational intervention to promote safe behaviours in petrochemical workers: a study protocol

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