Transcript – Physical and Cognitive Demands Associated with Police In-Vehicle Technology Use: A Naturalistic Study
Hello my name is Maryam Zahabi and I’m presenting our T3 project on behalf of my team. It was on “Physical and Cognitive Demand Associated with Police and Vehicle Technology Use” and we conducted a naturalistic study. Crash reports from different studies in the US have identified an alarming number of crashes involving police vehicles and these crashes were mainly caused by officers’ interaction with different vehicle technologies. Previous US studies have assessed officers’ interaction within vehicle equipment and have found negative physical and cognitive effects. However, these assessments were limited to a specific equipment and short exposure time and were typically conducted in the laboratory settings. Therefore, the objective of our study was to conduct a naturalistic driving study to identify the most physically and cognitively thematic human technology.
Interactions in police vehicles were recorded from statewide departments in a three-hour long study. We had both them and both endpoints wearable sensors and also used people allowed by tracking glasses. We measured perceived workload physiological measures of workload using percentage change in pupil size and we also measured muscle activities using the sensors placed on the three muscles.
We found that among all the vehicle technologies such as AMC team or computer terminal radio and phone. Video cameras the city was the most frequently used vehicle technology for the officers. In addition, it was the most physically and cognitively demanding vehicle technology for the officers. In addition, we found that officers with more experience as a patrol officers and officers who were working in more congested areas experienced higher cognitive workload. This might be due to the more license plate checks in congested areas.
Furthermore, the EMG and eye tracking measures did not reveal any significant effect of vehicle technology type on driver physical on cognitive workload which might be due to the frequent switching between the task. This is said he provided a comprehensive physical and cognitive mapping of the interactions between officers any vehicle technologies. The findings may be used by vehicle manufacturers and technology developers to optimize future recalls and in vehicle equipment designed to better fit human capabilities and improve safety.