- Angèle Picco, PhD Candidate, Faculty of Behavioural and Social Sciences, University of Groningen
- Dimitra Dodou, Associate Professor, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology
- Tom Driessen, PhD Candidate, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology
Vehicles are increasingly equipped with sensors that capture the state of the driver, the vehicle, and the environment. These developments are relevant to formal driver testing, but little is known about the extent to which driving examiners would support the use of sensor data in their job. In this webinar, we will present the results of an interview study in which 37 driving examiners were asked about data-driven driver testing. The results showed that the examiners were supportive of using data to explain their pass/fail verdict to the candidate. The examiners stressed the importance of forming an overall picture of the candidate's performance, and that putting too much emphasis on individual data points could lead to a loss of this ability. The interviews yielded other possible applications of data collection and sharing, such as improving standardization, and training and pre-selecting candidates before they are allowed to take the driving test. Furthermore, the interviews focused on an increasingly viable form of data collection: simulator-based driver testing.
This interview study was conducted with Dutch driving examiners. In this webinar, we would like to involve the audience to have an international perspective on data-driven driver testing. For example, we are interested in hearing about CIECA members’ experiences with simulator-based driver training or testing, as well as learning about the primary challenges in the audience’s regions with driver testing which can be addressed with a data-driven approach.
FURTHER DETAILS OF INTEREST FOR PARTICIPANTS:
- Time: 18 November 2021, 11:30 am - 12:30 pm CET
- Fee: This members-only event is free-of-charge
- Location: online
- Working language: English
- Registration: The deadline for registrations is 16 November 2021