Mitigating The Danger Of Excavation
In an effort to improve safety for excavator operators, a team of Texas A&M University researchers is proposing a novel approach to overcoming the data overload faced by that excavator operators.
The dangers of excavation work are many. From cave-ins to damaging underground utilities, the risks are extreme whenever an excavator operator climbs into the chair. With a high demand for visual awareness on the operator’s part, the amount of information they must process can be overwhelming.
The research team, which includes S. Camille Peres from the School of Public Health, has been awarded a grant from the National Science Foundation (NSF) to study spatial awareness of excavator operators and develop an interface to help improve it.
Peres, who is an associate professor in the Department of Environmental and Occupational Health, serves as one of the co-principal investigators on the project, which recently was awarded a Standard Grant for support from the NSF. The grant totals $1.38 million.
“Most people are not aware of the prevalence of incidents related to underground excavation,” Peres said. “In fact, in the United States, there is an incident associated with underground excavation approximately once a minute.”
Spatial awareness is the knowledge of where an individual’s body is in relation to objects or other people. In order to have good spatial awareness, an individual needs to understand and respond to a change in position from these objects.
According to the researchers, excavator operators face serious risks on a daily basis when working around buried utilities. Risks include damaging the utility lines, which in turn could lead to consequences ranging from disruption of services to serious injury to death.
The research team will consult with excavator operators to gain knowledge that can be used to develop technology design, key testing contexts in virtual reality and real-world testbeds. They will also help facilitate operators’ adoption of the new technology and reduce their stress when using it.
“One of the exciting things about this project is the interdisciplinary nature of the investigators,” Peres said. “In addition to the investigators who are building the exciting new technology, there are investigators who have training in human factors, organizational psychology, cognitive psychology and safety. Through this collaborative effort, we can identify how something should be designed so it will work, people can use it and people will want to use it.”
To help excavator operators improve their spacial awareness, the research team will employ proprietary sensor technology. The technology will provide the researchers with data on the proximity to subterranean targets and intuitively communicate that information to the workers through touch using haptic displays.
The goal is to have the information provided to the workers in a manner that will improve their awareness to the location of the subterranean without overwhelming them with data. Further, the project will evaluate how effective the developed technologies are at actual construction sites. The technologies will be tested in a real-world context using excavator operators in the Bryan-College Station area.
Additionally, the research will provide a framework for technology adoption policy, detailing the risks and benefits of introducing new technologies to emerging socio-technological landscapes where workers can face issues with phased adoption of technologies due to inconsistencies in interface configurations between work environments.
“One of the challenges for the future worker will be having to change from new, innovative displays — like those we are developing — back to older, less effective methods,” Peres said. “Our study will document the costs of these changes to inform standards in this industry.”
The other researchers on the project are Youngjib Ham (principal investigator) from the Department of Construction Science; Mindy E. Bergman (co-principal investigator) from the Department of Psychological and Brain Sciences; Tom Ferris (co-principal investigator) from the Department of Industrial and Systems Engineering; and Hangue Park (co-principal investigator) and Jeonghee Kim (co-principal investigator) from the Texas A&M Engineering Experiment Station.