Farzaneh Shahini| Portfolio
Effects of Unreliable Level of Automation and Takeover Time Budget on Young Drivers’ Takeover Performance And Workload
The objective of this study is to assess the effects of unreliable automation, non-driving related tasks (NDRTs), and takeover time budget (TOTB) on drivers’ takeover performance and cognitive workload when faced with critical incidents. Automated vehicles are expected to improve traffic safety. However, there are still some concerns about the effects of automation failures on driver performance and workload. Twenty-eight drivers participated in a driving simulation study.
Analysis of Advanced Driver Assistance Systems in Police Vehicles: A Survey Study
Few studies have examined the impact of advanced driver-assistance systems (ADAS) on police officers to improve driver safety and prevent crashes. This is in spite of police officers having higher driving-related mortality rates than average civilians. To fill this gap, a survey study was conducted on 73 police officers to assess their opinions on various ADAS features as well as their recommendations for improvement.
FIND: Friendly Indoor Navigation app for Disabled people
Persons with disabilities in our communities often find it difficult to achieve and maintain an independent and high quality of life. FIND is an indoor navigation app which can help people with cognitive, hearing, visual, and mobility impairment, as well as older adult to navigate in buildings.
Usability evaluation of mobile computer terminals: a focus group study
Motor vehicle crashes are a leading cause of police officers’ deaths in the line of duty. Previous studies have found that officer distraction caused by in-vehicle technologies such as the mobile computer terminal (MCT) is one of the main causes of these crashes. The objective of this study was to evaluate the usability issues of existing MCTs implemented in police vehicles across the U.S. and to provide recommendations to improve future technologies.