A study on Driver Behaviour with Advanced Driver Assistance Systems (ADAS)
Summary
Modern vehicles are equipped with Advanced Driver Assistance Systems (ADAS) designed to enhance the safety of both vehicle occupants and other road users. ADAS encompasses a range of driver assistance technologies that provide crucial information to drivers and, when necessary, assume control of specific vehicle functions.
This study is dedicated to several key objectives. Firstly, it aims to assess user awareness of the Advanced Driver Assistance Systems currently integrated into present-day vehicles. Additionally, the research seeks to develop a comprehensive technology acceptance model to gauge user acceptance of technologies like ADAS. Furthermore, the study delves into the behavioral patterns of drivers in vehicle-pedestrian interactions by investigating their probabilistic nature within a simulated environment.
Through these endeavors, the research strives to contribute to our understanding of how ADAS technologies are perceived, utilized, and how they can be optimized to provide effective driving aids. Ultimately, the findings will offer valuable insights for both vehicle manufacturers and road safety initiatives.
Eligibility
Eligible ages: 18 to 100
Accepts healthy participants: Yes
Inclusion criteria:
To be eligible to participate in this study, you must meet the following criteria:
1. You must be at least 18 years of age
2. You must possess a valid driver's license in Alberta
3. You should have prior driving experience
4. You should have no history of severe motion sickness (Only applicable for phase III of data collection)
Exclusion criteria:
You are not eligible to participate in this study if you:
1. Are under 18 years of age
2. Do not possess a valid driver's license in Alberta
3. No prior driving experience in any part of the world
4. Have a history of severe motion sickness (Only applicable for phase III of data collection)
Participate
Fill out the following form if you want to participate in this research
Collection of personal information
Your personal information is collected under
the authority of section 33(c) of the Freedom of Information and Protection of Privacy Act. If
you have any questions about the collection or use of this information, please visit our
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Additional information
Contact information
Don Pubudu Kapurubandarage Ph.D. Student Department of Civil Engineering Schulich School of Engineering University of Calgary 2500 University Drive NW Calgary, Alberta T2N 1N4
Principal investigator:
Alexandre de Barros
Clinical trial:
No
REB-ID:
REB23-1184