UNC Greensboro
This project aims to design, prototype, and evaluate user interfaces for the next generation public safety ecosystem and its first responders. Each phase will advance the knowledge necessary to move on to the next one, and the final outcome of the project will have a transformative impact on the adoption of next generation technology for all public safety disciplines by offering a collection of user interfaces that have been demonstrated to be effective and efficient in the context of each public safety organization (PSO) specific requirements. The methods to achieve the goals of this project involve working closely with PSOs through the course of the project, utilizing iterative design process with the end user in the loop and performing controlled user studies with the target user population in the public safety community.
Dr. Regis Kopper, Principal Investigator*
Sergeant William L. Parker*
Hillsborough Police Department, public safety partner*
Dr. Jeronimo Grandi, fellow researcher*
Zekun Cao, fellow researcher
Mark Ogren, fellow researcher
* Team involved in 2021-2022 Demonstration Project
University of North Carolina at Greensboro was awarded a separate, one-year award to complete a demonstration with the Hillsborough Police Department, in Orange County, North Carolina to use their initial virtual reality traffic stop prototype in the design and development of a customizable traffic stop simulation tool that will be validated and demonstrated within the police department training process. Their proposed virtual reality tool will focus on measurable training outcomes, using current traffic stop protocols and technology. Their trainer user interface will allow for customization of the traffic stop simulation, including driver gender and race, vehicle characteristics and traffic stop outcome. Following the creation of the virtual reality training tool, they will conduct two user studies that aim at measuring the effects of the use of next-generation UIs on situational awareness, risk, and decision-making compared to the same conditions with current operations and technology, all within the context of a traffic stop scenario.