The concept of degraded images applied to hazard recognition training in mining for reduction of lost-time injuries

Kowalski-Trakofler, Kathleen M.; Barrett, Elizabeth Ann

doi:10.1016/j.jsr.2003.05.004

Cited by 42 publications

(23 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This analysis demonstrates the need for development of new interventions and control strategies for the risks associated with mining equipment. A number of promising new approaches have been described in recent years, including collision prevention for vehicles using GPS-and radar-based warning systems (Ruff, 2006;Ruff & Holden, 2003), and the use of degraded images in hazard recognition training for the reduction of lost time injuries (Kowalski-Trakofler & Barrett, 2003). Ongoing development of these and other new strategies will be required to achieve continued decreases in injury and illness rates for the mining industry.…”

Section: Resultsmentioning

confidence: 99%

Analysis of fatalities and injuries involving mining equipment

Groves

Kecojević

Komljenović

2007

Journal of Safety Research

130

View full text Add to dashboard Cite

Section: Resultsmentioning

confidence: 99%

Analysis of fatalities and injuries involving mining equipment

Groves

Kecojević

Komljenović

2007

Journal of Safety Research

130

View full text Add to dashboard Cite

“…In accordance with these results, several researches revealed that training programs can improve workers' knowledge of recognizing workplace hazards and dangers. In addition, a training, which simulates real situations, helps workers perform their best with hazard identification and accident black spots in the industries (19). Briefly, it can be said that S and H trainings, which are performed due to job needs and the training indicator variables that are at a desirable degree, can be useful and effective in accident prevention and mitigation (6,19).…”

Section: Discussionmentioning

confidence: 99%

Structural Equation Modeling Modeling (SEM) of Occupational Accidents Size Based on Risk Management Factors; A Field Study in Process Industries

et al. 2018

View full text Add to dashboard Cite

Background: Due to high risks for occupational accidents, process industries are one of the most dangerous industries around the world. Accidents' size in these industries are influenced by combination of different factors. Objectives: The present study aimed at analyzing and modeling occupational accidents' size and investigating the role of different risk management factors on accidents' size in process industries. Methods: This analytical study was carried out on accidents in ten process industries, including petrochemicals, refineries, and chemical industries during eight years (2008 to 2015). Studied data were included variables and factors of risk management systems and information about human injuring accidents. Data analysis and modeling were done based on feature selection by Pearson χ 2 coefficient and structural equation modeling (SEM) approach using statistical software of IBM SPSS AMOS v22.0. Results: Lost working days (LWD) as index of accident size was estimated 197.42 ± 111.06 days. Results of feature selection and SEM approach showed that LWD was affected by different factors such as safety and health (S and H) training, risk management, and risk control, and its indicator variables (P < 0.05). Conclusions: The findings implied that structural equation modeling is a reliable and applicable accidents analysis method. Furthermore, the results should be considered to prevent and reduce occupational accidents' size in process industries.

show abstract

“…Conversely, the avoidance of inattention requires an awareness of when attentional resources fall below an operational threshold. A good example of the perception-action cycle in detection is provided by Kowalski-Trakofler and Barrett (2003) in their research on degraded image training for coal mine workers using a sequential process model involving the skills of TD. They found that using degraded images in training improved hazard detection performance whereas using regular images did not.…”

Section: Literature Backgroundmentioning

confidence: 99%

“…The use of stills or photos was utilized by Cockrell (1979) to train target identification; groups receiving degraded images performed best when retested later on that same level of degradation. Similarly, Kowalski-Trakofler and Barrett (2003) used degraded images to improve skills of hazard recognition for miners. By using images that made the hazard less obvious via the amount of clutter or noise in a photo, the image was stated to be degraded; the photos used were of real scenes of mines.…”

Section: Photos/real Footage (Lab)mentioning

confidence: 99%

Asymmetric Attention: Visualizing the Uncertain Threat

Vowels¹

2010

View full text Add to dashboard Cite

This report attempts to fuse Army needs, specific to threat detection, with available evidence from academia and military sources. The report provides viable routes for short-term enhancement of threat detection training and long-term goals of a research program dedicated to improving the Army's understanding of threat detection. This review found two major avenues of research, visual attention and visual memory that would benefit research and understanding of attention and threat detection for current and future operational environments. Based on the review, at least three sequential skills are discussed as necessary for understanding and improving threat detection: attentiveness, recognition, and action. These skills orient and guide the Soldier in operational settings from the basic perceptual process at the attentiveness stage up through higher-order reasoning at the action stage. Training formats are explored including still images and high-fidelity simulations, all of which could be scaffolded upon a deliberate practice framework.

show abstract

The concept of degraded images applied to hazard recognition training in mining for reduction of lost-time injuries

Cited by 42 publications

References 10 publications

Analysis of fatalities and injuries involving mining equipment

Analysis of fatalities and injuries involving mining equipment

Structural Equation Modeling Modeling (SEM) of Occupational Accidents Size Based on Risk Management Factors; A Field Study in Process Industries

Asymmetric Attention: Visualizing the Uncertain Threat

Contact Info

Product

Resources

About