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1. Spatial Exposure to Dynamic Safety Hazards in Construction Sites through 360-Degree Augmented Panoramas: Ecological Validity in Safety Research

   https://doi.org/10.1061/9780784483985.073  

   Lee, Kyeongsuk ; Hasanzadeh, Sogand ; Esmaeili, Behzad ( March 2022 , Construction Research Congress 2022)

   Given the dynamic and complex nature of the construction industry, maintaining situation awareness at job sites is critical. To react properly, workers must identify dynamic safety hazards within the scene. The majority of studies assessing construction workers’ situation awareness have utilized static images, virtual reality, and other types of simulation methods, but questions remain as to whether these formats are able to capture and monitor workers’ naturalistic behaviors and hazard identification abilities. To identify whether the format of hazardous stimuli (i.e., static, image-based vs. dynamic, and video-based formats) impact workers’ subjective and objective hazard identification and situation awareness metrics, this study developed 23 safety hazard scenarios utilizing state-of-the-art augmented 360° panoramas and then tracked differences in workers’ visual search patterns and hazard identification abilities using eye-tracking technology. The workers’ cognitive responses, evidenced by their eye movements, showed that workers had significantly varied cognitive processes and abilities depending on the format of stimuli: Workers with lower hazard identification skills were more likely to miss hazards in a dynamic environment. This result suggests that the experimental setting should be carefully designed to determine construction workers’ natural cognitive process.
2. The Role of Work Experience on Hazard Identification: Assessing the Mediating Effect of Inattention Under Fall-Hazard Conditions

   Aroke, O. ; Esmaeili, B. ; Hasanzadeh, S. ; Dodd, M. D. ; and Brock, R. ( March 2020 , Construction Research Congress 2020)

   One of the main contributors to the human errors that lead to catastrophic injuries in the construction workplace is the failure to identify hazards as a result of poor attention or cognitive lapses. To address this safety concern, the present study used eye-tracking technology to assess how the association between work experience and hazard identification may be mediated due to inattention. A mediation analysis was conducted and tested using a bias-corrected bootstrapping technique with 5000 resamples. The results estimate the direct and indirect effects of work experience on the hazard identification skills of construction workers observing varying hazardous conditions. The results of the mediation analysis confirm that inattention—demonstrated via inattentiveness toward hazards—mediates the relationship between work experience and hazard identification. Specifically, though work experience and dwell time positively correlate with hazard identification, the direct effect of work experience on hazard identification is attenuated with the inclusion of the mediator variables in the model, thus suggesting attentional impairment offsets the benefits of work experience. The outcomes of this study will enable researchers and safety practitioners to harness real-time eye-movement patterns to identify the precursors of cognitive failure, deficient attentional allocation, and poor visual search strategies, all of which may put workersmore »at risk on construction sites. The results also facilitate the provision of personalized safety feedback to workers and the design of training interventions that will address unique performance deficiencies in workers to prevent the human errors that cause injuries in dynamic environments.« less
3. Examining the Relationship between Personality Characteristics and Worker’s Attention under Fall and Tripping Hazard Conditions

   https://doi.org/10.1061/9780784481288.040  

   Hasanzadeh, Sogand ; Esmaeili, Behzad ; Dodd, Michael D. ( March 2018 , Construction Research Congress 2018 April 2–4, 2018 | New Orleans, Louisiana)

   A worker’s attentional and cognitive failures—such as lack of attention, failure to identify a tripping hazard, or misperception about a hazard’s risks—can lead to unsafe behaviors and, consequently, accidents. Previous literature has shown that individual characteristics such as personality may affect human’s selective attention. However, few studies have attempted to empirically examine how a worker’s personality affects attention and situation awareness on a jobsite. The present study examines how workers’ emotional stability (neuroticism) affects their cognitive failures (especially attentional failure) when they are exposed to fall-to-same-level hazardous conditions. To achieve this goal—and given that eye movements represent the most direct manifestation of visual attention—the personalities of construction workers were assessed via self-completion questionnaires, and their attention and situation awareness were monitored continuously and in real-time using a mobile wearable eye-tracking apparatus. Correlational analyses revealed the significant relationship between neuroticism and the attentional distribution of workers. These results suggest that workers do not allocate their attention equally to all hazardous areas and these differences in attentional distribution are modulated by personality characteristics (neuroticism). A more detailed investigation of this connection yielded a specific pattern: less neurotic workers periodically look down and scan ahead to obtain feedforward information about tripping hazards, andmore »these individuals remain fully aware of the environment and its associated hazards. The findings of this study suggest the value assessing personality to identify workers who are more likely to be involved in accidents.« less
4. The Association between Risk Perception and the Risk-Taking Behaviors of Construction Workers

   https://doi.org/10.1061/9780784481288.042  

   Dao, Bac ; Hasanzadeh, Sogand ; Esmaeili, Behzad ( March 2018 , Construction Research Congress 2018)

   The majority of human-factor models in construction safety assume that risk-taking behaviors, failure to perceive hazards, or misinterpreting the associated risks of hazards are the main contributing factors in accident occurrences. However, the findings for the link between risk-taking behaviors and risk perception are inconsistent. To address this knowledge gap, the current study focuses on measuring the association between risk perception and the risk-taking behaviors of construction workers. To achieve this objective, 27 undergraduate students from the University of Nebraska–Lincoln with at least 1 year of experience in the construction industry were recruited to participate in an experiment. To measure risk perception, the subjects were asked to assess the risk—in terms of likelihood and severity—associated with various scenario statements related to fall hazards. Subsequently, subjects performed the balloon analogue risk task (BART), a computerized decision-making simulation, to test the subjects’ risk-taking behaviors. The results of a correlational analysis showed that there is a significant negative association between an individual’s risk perception of fall hazards and his/her risk-taking behaviors. Additionally, differences in the risk-taking behaviors of subjects evaluated against their risk-perception scores were examined using a permutation simulation analysis. The results showed that there is a moderately significant difference in themore »risk-taking behaviors of subjects with low and high fall-risk perception. The research findings provide empirical evidence that people with lower risk perception tend to engage in more risk-taking behaviors. Furthermore, this study is one of the first attempts at using BART in the assessment of risk taking in construction safety and paves the way for a better understanding the human factors that contribute to construction accidents.« less
5. Overt visual attention and value computation in complex risky choice

   Xinhao Fan, Jacob Elsey ( December 2020 , bioRxiv)

   Traditional models of decision making under uncertainty explain human behavior in simple situations with a minimal set of alternatives and attributes. Some of them, such as prospect theory, have been proven successful and robust in such simple situations. Yet, less is known about the preference formation during decision making in more complex cases. Furthermore, it is generally accepted that attention plays a role in the decision process but most theories make simplifying assumptions about where attention is deployed. In this study, we replace these assumptions by measuring where humans deploy overt attention, i.e. where they fixate. To assess the influence of task complexity, participants perform two tasks. The simpler of the two requires participants to choose between two alternatives with two attributes each (four items to consider). The more complex one requires a choice between four alternatives with four attributes each (16 items to consider). We then compare a large set of model classes, of different levels of complexity, by considering the dynamic interactions between uncertainty, attention and pairwise comparisons between attribute values. The task of all models is to predict what choices humans make, using the sequence of observed eye movements for each participant as input to the model.more »We find that two models outperform all others. The first is the two-layer leaky accumulator which predicts human choices on the simpler task better than any other model. We call the second model, which is introduced in this study, TNPRO. It is modified from a previous model from management science and designed to deal with highly complex decision problems. Our results show that this model performs well in the simpler of our two tasks (second best, after the accumulator model) and best for the complex task. Our results suggest that, when faced with complex choice problems, people prefer to accumulate preference based on attention-guided pairwise comparisons.« less