Exploring eye-tracking searching strategies for construction hazard recognition in a laboratory scene

Xu, Qin; Chong, Heap‐Yih; Liao, Pin‐Chao

doi:10.1016/j.ssci.2019.08.012

Cited by 54 publications

(34 citation statements)

References 36 publications

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“…For example, a study found that workers who expend more time inspecting the worksite and devote higher levels of attention demonstrate superior hazard recognition [ 93 ]. Moreover, subjects with superior hazard recognition performance tend to focus less on noncritical distractors [ 91 ]. Additionally, Dzeng et al [ 10 ] demonstrated that experienced workers spend more time searching for inconspicuous hazards than they do for obvious hazards.…”

Section: Resultsmentioning

confidence: 99%

“…These findings are surprising as it has been demonstrated that two-dimensional images of scenes do not completely reflect the stimulus conditions of natural environments [ 87 , 89 ]. For example, it has been found that construction workers are not able to see all hazards in static images [ 23 , 91 ].…”

Section: Resultsmentioning

confidence: 99%

“…At the same time, topics such as hazard detection have been widely covered in the construction industry but not in the aviation or maritime industries [ 10 , 91 , 93 ]. Given that hazards are present in any high-risk industry, similar research might be beneficial to these industries.…”

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Application of Eye Tracking Technology in Aviation, Maritime, and Construction Industries: A Systematic Review

Martinez-Marquez

Pingali

Panuwatwanich

et al. 2021

Sensors

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Most accidents in the aviation, maritime, and construction industries are caused by human error, which can be traced back to impaired mental performance and attention failure. In 1596, Du Laurens, a French anatomist and medical scientist, said that the eyes are the windows of the mind. Eye tracking research dates back almost 150 years and it has been widely used in different fields for several purposes. Overall, eye tracking technologies provide the means to capture in real time a variety of eye movements that reflect different human cognitive, emotional, and physiological states, which can be used to gain a wider understanding of the human mind in different scenarios. This systematic literature review explored the different applications of eye tracking research in three high-risk industries, namely aviation, maritime, and construction. The results of this research uncovered the demographic distribution and applications of eye tracking research, as well as the different technologies that have been integrated to study the visual, cognitive, and attentional aspects of human mental performance. Moreover, different research gaps and potential future research directions were highlighted in relation to the usage of additional technologies to support, validate, and enhance eye tracking research to better understand human mental performance.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Application of Eye Tracking Technology in Aviation, Maritime, and Construction Industries: A Systematic Review

Martinez-Marquez

Pingali

Panuwatwanich

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…A number of recent studies have leveraged the power of eye-tracking technology and visual attention maps to enhance the hazard recognition ability of workers [45][46][47]. More specifically, these efforts have largely tasked workers or individuals examine construction workplaces or images of workplaces to identify safety hazards.…”

Section: Leveraging Eye-tracking Technology and Visual Attention Mapsmentioning

confidence: 99%

Designing Impactful Construction Safety Training Interventions

Albert

Routh

2021

Safety

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Construction workplaces still report an unacceptable number of safety incidents every year. To tackle these disproportionate incident rates, safety training interventions are adopted widely in construction workplaces. Despite their adoption, poor safety performance continues to be a universal and global problem in the industry. In fact, recent research has called into question the effectiveness of training programs that are commonly adopted in the industry. There is also evidence that suggests that training interventions, in many cases, do not yield tangible benefits and may sometimes simply reduce to wasted resources. Therefore, it is important for industry stakeholders to possess a good understanding of the characteristics of training interventions that translate to superior safety performance. Towards achieving this goal, the present article concisely summarizes specific safety training intervention elements, which when integrated into training programs, can translate into superior safety performance and outcomes. The objectives of the research were achieved by performing a review of the construction safety training literature from diverse sources. The findings demonstrate that training interventions that integrate visual cues to guide hazard recognition, immersive experiences in virtual environments, andragogical training principles, personalization of training experiences, testing and feedback, and other elements can improve training effectiveness and outcomes. The article will serve as a resource for industry professionals that seek to address the weaknesses of existing training interventions. Researchers may also use this as a resource to inform the development of the next generation of safety training interventions. Together, the presented research can be leveraged to reduce the number of undesirable safety incidents experienced in construction workplaces.

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“…It has the potential to reduce the impact of dishonesty on the assessment results. In this decade, several methods for scanpath comparison have been successfully applied in cognitive studies of visual information processing, such as scene perception [8], reading [9], and visual searching [10]. Scanpath comparison can be used to understand differences in eye movements between correct and incorrect solvers on physics problems [11].…”

Section: Introductionmentioning

confidence: 99%

Detection of Depression and Its High-Risk Group using Scanpath Comparison Based on Semantic Information

Wang

Zheng

Huang

et al. 2020

Preprint

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Background: Depression is a burdensome, recurring mental health disorder with high prevalence. The traditional detection of depression relies on structured interviews and questionnaires, which is labor-intensive and time-consuming. Also, the detection results are affected by subjective factors such as the subject's honesty and the psychologists' experiences. It lacks objective and quantitative metrics.Methods: To solve the above problems, we develop a convenient and objective system to detect depression and its high-risk group using eye-tracking data. In this system, subjects are required to answer the self-rating scale, and their scanpaths are recorded as a series of gaze points and saccades by the eye-tracking technology. Then, the similarity of scanpaths are compared and quantified with the guide of semantic information. Finally, according to the similarity scores of their scanpaths, the subjects are classified into three groups: normal, high-risk group, and depression.Results: The classification accuracy based on each item of the self-rating scale is 86.79% on average, while the detection accuracy is 95.63%.Conclusion: The experimental results show that (1)There are obvious eye movement differences among normal people, high-risk groups of depression, and depression patients while answering the questionnaire. (2)The early screening system for depression provides a novel and efficient solution to detect depression and its high-risk group by integrating traditional scale assessment and quantitative scanpath comparison algorithm.

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Exploring eye-tracking searching strategies for construction hazard recognition in a laboratory scene

Cited by 54 publications

References 36 publications

Application of Eye Tracking Technology in Aviation, Maritime, and Construction Industries: A Systematic Review

Application of Eye Tracking Technology in Aviation, Maritime, and Construction Industries: A Systematic Review

Designing Impactful Construction Safety Training Interventions

Detection of Depression and Its High-Risk Group using Scanpath Comparison Based on Semantic Information

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