Driving examiners’ views on data-driven assessment of test candidates

Driving examiners’ views on data-driven assessment of test candidates: An interview study

Driessen, T. (TU Delft Human-Robot Interaction)
Picco, Angèle (Rijksuniversiteit Groningen)
Dodou, D. (TU Delft Medical Instruments & Bio-Inspired Technology)
de Waard, Dick (Rijksuniversiteit Groningen)
de Winter, J.C.F. (TU Delft Human-Robot Interaction)

2021

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. This semi-structured interview study examined the opinions of 37 driving examiners about data-driven assessment of test candidates. The results showed that the examiners were supportive of using data to explain their pass/fail verdict to the candidate. According to the examiners, data in an easily accessible form such as graphs of eye movements, headway, speed, or braking behavior, and color-coded scores, supplemented with camera images, would allow them to eliminate doubt or help them convince disagreeing test-takers. The examiners were skeptical about higher levels of decision support, noting that forming an overall picture of the candidate's abilities requires integrating multiple context-dependent sources of information. The interviews yielded other possible applications of data collection and sharing, such as selecting optimal routes, improving standardization, and training and pre-selecting candidates before they are allowed to take the driving test. Finally, the interviews focused on an increasingly viable form of data collection: simulator-based driver testing. This yielded a divided picture, with about half of the examiners being positive and half negative about using simulators in driver testing. In conclusion, this study has provided important insights regarding the use of data as an explanation aid for examiners. Future research should consider the views of test candidates and experimentally evaluate different forms of data-driven support in the driving test.

Data
Decision aid
Driver assessment
Driving license
Driving simulator
Driving test
Semi-structured interview

http://resolver.tudelft.nl/uuid:3d7e4e59-7d43-4baf-b86b-94d62f932ed0

https://doi.org/10.1016/j.trf.2021.09.021

1369-8478

Transportation Research. Part F: Traffic Psychology and Behaviour, 83, 60-79

Institutional Repository

journal article

© 2021 T. Driessen, Angèle Picco, D. Dodou, Dick de Waard, J.C.F. de Winter