Solomon, T (2021) Change blindness in the construction industry. PhD thesis, George Mason University, USA.
Abstract
Since the construction industry is dynamic and complex, construction workers are constantly experiencing changes in their work environment. These changes on the job site can sometimes endanger the safety of workers if they fail to detect them. Failing to detect changes to visual scenes is known as change blindness, and this phenomenon can potentially put construction workers in harm’s way if they fail to detect hazard changes that compromise their safety. Better understanding the change blindness (i.e., inability of workers to recognize changes in their visual scenes) is vital to enhance safety at construction jobsites. The effect of change blindness in the context of conduction safety has not been studied before. Therefore, the main goal of this dissertation is to provide empirical evidence and theoretical considerations of the effect of change blindness in the construction industry. To achieve this overarching goal, three specific objectives were defined: The first objective was to investigate the effect of type of change (safety-relevant/irrelevant), work experience, and hazard types (e.g., elevated platforms, ladders) on change detection performance (measured by response time taken to detect a change and accuracy rate to detect change). The second objective was to examine how individual factors (age, work experience, personality, mindfulness, gender, injury exposure, formal safety training) affect change detection performance in construction. Understanding the extent of personal characteristics on change detection performance can be very instrumental for safety managers to detect at-risk workers. The third objective was to examine the changes in worker attentional allocation and their change detection performance using eye-tracking technology. A change blindness experiment was designed to address this gap, several construction scenario images consisting of fall hazards that vary in severity were modified to include either a safety-relevant change (fall-arrest systems, elevated platforms, unprotected openings, ladders, unprotected edge) or an irrelevant safety change (e.g., logo on machinery, stickers on windows and wall). The first manuscript analyzed the results using parametric and non-parametric tests showed that change blindness can influence workers’ hazard identification ability that can negatively impact their safety performance. The second manuscript examined the predictive power of potential personal characteristics associated with change detection performance by implementing a hierarchical agglomerative clustering technique to classify response time (Fast and Slow) and accuracy rate (High and Low). The results from logistic regression revealed that age, personality traits (agreeableness and conscientiousness), mindfulness, and injury exposure are associated with change detection performance. Lastly, attentional allocation of participants was measured using four fixation-related metrics: dwell time percent, first fixation time, fixation count and run count. Using randomization simulation tests, it was found that attentional allocation of observers was significantly different between safety-relevant and safety-irrelevant changes. In addition, attentional allocation of observers was also significantly different between different fall hazards types. This research contributes to academia by 1) providing a better understanding of the effect of type of change (safety-relevant or safety-irrelevant) and fall hazard type on change detection performance and the extent of change blindness on hazard identification in the construction industry; 2) identifying individual factors that significantly affect change detection performance in construction; and 3) examine the impact of change blindness on allocating visual attention towards fall hazards in construction. Regarding practice, the demonstration of the application of the change blindness phenomenon to the realm of construction safety is expected to lessen the impact of inattentiveness towards hazard changes and aid safety managers and industry professionals to identify at-risk workers. In addition, the change blindness concept can be integrated in safety training practices to design personalized training for workers to improve hazard detection ability and enhance safety performance on the job site.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Thesis advisor: | Esmaeili, B |
| Uncontrolled Keywords: | accuracy; gender; hazards; construction safety; injury; safety; training; experiment; simulation; construction worker; professional |
| Index terms: | mindfulness, logistic regression, platform, personality, hazard identification, academia, work environment, safety training, construction industry, clustering, dissertation, construction worker, injury, manager, accuracy, experiment, change detection, evidence, window, fall hazard, safety performance, exposure, construction safety |
| Subjects: | environmental health, statistical analysis, industry analysis, health conditions and diseases, educational institutions, occupational health and safety management, professional development, public and environmental health, management, health risk and incident analysis, data science, data collection methods, behavioral psychology, digital design, financial risk, architectural elements, practitioner, scope management, research dissemination and communication, evaluation and assessment methods |
| Topics: | Roles and Professions, Research Practice, Information Management, Cost Management, Organizational Design, Design Practice, Digital Applications, Sustainability, Project Management, Health and Safety, Education |
| Descriptive scope: | 5 PCTEA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here