269 publications from this institution
Construction litigation expenditures have increased considerably over the years. An universal prediction model (UPM) was developed to predict the outcome of construction litigation and, hence, encourage settlements out of court. The study was conducted by using 151 Illinois circuit court cases filed in the period 1987–2005. UPM consists of data consolidation, attribute selection, hybrid classification, and performance assessment. A code was written to automate the entire process in the Waikato environment for knowledge analysis. UPM is versatile and scalable. The findings resulted in a higher prediction rate than those obtained in previous studies. The system proved to be quite robust and fast. If the outcome of construction litigation can be predicted with reasonable accuracy and reliability, all parties involved in the construction process could save considerable money and time.
Hazard recognition skills are a critical factor in construction safety. Eye-tracking technology is considered the direct and objective way to study hazard recognition issues. The paper aims to evaluate the effect of daily safety training on people's hazard recognition skills using eye-tracking technology. The study focuses on three aspects: (1) effect of safety backgrounds (safety certifications, construction-related education, and construction-related work experience) on people's hazard recognition performance; (2) impact of daily safety training on hazard recognition skills and on the scan path of workers with varying backgrounds; and (3) comparison of the impact of daily safety training on the scan path of people with different hazard recognition levels. An eye-tracking experiment was conducted to obtain participants' eye movement data and achieve the study's objectives. The results of the study indicate that people who are educated in a related field of study demonstrate an advanced level of hazard recognition abilities, while safety certificates and construction-related work experience do not appear to have a significant impact. Following daily safety training, the participants exhibited more careful examination of construction scenarios. Additionally, individuals with higher hazard recognition levels displayed increased confidence in their hazard recognition judgments. This study makes a significant contribution to the existing body of knowledge by demonstrating the potential of eye-tracking technology to investigate the effect of safety training on visual scan paths. The results of this study emphasize the importance of considering various safety training methods for workers with varying hazard recognition levels to enhance their performance in identifying hazards.