ReviewFrontiers in neuroscience2022
A Systematic Review of Eye-Tracking Studies of Construction Safety.
Review in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Multimodal EEG and Eye-Tracking Assessment of Perceived Mental Workload and Situation Awareness in a Visual Display Terminal Simulation Task.Sensors (Basel, Switzerland) · 2026Article
- The ERP characteristics in the process of hazard identification.Scientific reports · 2026Article
- A Bibliometric Analysis of Neuroscience Tools Use in Construction Health and Safety Management.Sensors (Basel, Switzerland) · 2023Review
- From brain to worksite: the role of fNIRS in cognitive studies and worker safety.Frontiers in public health · 2023Review
- The Promotion Strategy Analysis for Green Degree of Railway Engineering Based on a System Dynamic Flow Diagram.Journal of environmental and public health · 2022Article
- The Application of Electroencephalogram in Driving Safety: Current Status and Future Prospects.Frontiers in psychology · 2022Review
- Application of Neuroscience Tools in Building Construction - An Interdisciplinary Analysis.Frontiers in neuroscience · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Safety is the most important concern in the construction industry, and construction workers' attention allocation is closely associated with their hazard recognition and safety behaviors. The recent emergence of eye-tracking techniques allows researchers in construction safety to further investigate construction workers' visual attention allocation during hazard recognition. The existing eye-tracking studies in construction safety need to be comprehensively understood, to provide practical suggestions for future research and on-site safety management. This study aims to summarize previous studies on the application of eye-tracking techniques to the construction safety context through a systematic literature review. The literature search and study selection process included 22 eligible studies. Content analysis was then carried out from participant selection, device selection, task design, area of interest determination, feature extraction, data analysis, and main findings. Major limitations of the existing studies are identified, and recommendations for future research in theoretical development, experiment improvement, and data analysis method advancement are proposed to address these limitations. Even though the application of eye-tracking techniques in construction safety research is still in its early stage, it is worth future continuous attention because relevant discoveries would be of great significance to hazard control and safety management in the construction industry.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.