Abstract
As commercial cars start to include more automated functions it becomes difficult for drivers to understand how and when to use them safely. While general HMI recommendations for partially automated cars have been made, it is unclear how drivers should be supported during the initial use period. Recommendations for a tutor system that guides drivers in their initial use of partially automated cars are necessary. To gain inspiration for such a tutor system, we examined the existing communication loop of driving instructors and their students. Driving instructors and their students were video recorded during regular driving lessons. The tutoring patterns that were found (i.e. situation and student adaptive feedback, student adaptive tasks, body movements for correcting and requesting actions) during the initial qualitative analysis are discussed. Furthermore, we suggest methods how to implement the tutoring patterns in a tutor system to support drivers in the use partially automated cars.
| Original language | English |
|---|---|
| Title of host publication | AutomotiveUI'19 - proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings |
| Publisher | Association for Computing Machinery (ACM) |
| Pages | 410-414 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781450369206 |
| DOIs | |
| Publication status | Published - 21 Sep 2019 |
| Event | 11th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2019 - Utrecht, Netherlands Duration: 22 Sep 2019 → 25 Sep 2019 |
Conference
| Conference | 11th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2019 |
|---|---|
| Abbreviated title | AutomotiveUI 2019 |
| Country | Netherlands |
| City | Utrecht |
| Period | 22/09/19 → 25/09/19 |
Fingerprint
Keywords
- Automated driving
- Feedback
- Observation study
- Tutorial
Cite this
}
Designing a naturalistic in-car tutor system for the initial use of partially automated cars : Taking inspiration from driving instructors. / Boelhouwer, Anika; Van Den Beukel, Arie Paul; Van Der Voort, Mascha; Martens, Marieke.
AutomotiveUI'19 - proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings. Association for Computing Machinery (ACM), 2019. p. 410-414.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
TY - GEN
T1 - Designing a naturalistic in-car tutor system for the initial use of partially automated cars
T2 - Taking inspiration from driving instructors
AU - Boelhouwer, Anika
AU - Van Den Beukel, Arie Paul
AU - Van Der Voort, Mascha
AU - Martens, Marieke
PY - 2019/9/21
Y1 - 2019/9/21
N2 - As commercial cars start to include more automated functions it becomes difficult for drivers to understand how and when to use them safely. While general HMI recommendations for partially automated cars have been made, it is unclear how drivers should be supported during the initial use period. Recommendations for a tutor system that guides drivers in their initial use of partially automated cars are necessary. To gain inspiration for such a tutor system, we examined the existing communication loop of driving instructors and their students. Driving instructors and their students were video recorded during regular driving lessons. The tutoring patterns that were found (i.e. situation and student adaptive feedback, student adaptive tasks, body movements for correcting and requesting actions) during the initial qualitative analysis are discussed. Furthermore, we suggest methods how to implement the tutoring patterns in a tutor system to support drivers in the use partially automated cars.
AB - As commercial cars start to include more automated functions it becomes difficult for drivers to understand how and when to use them safely. While general HMI recommendations for partially automated cars have been made, it is unclear how drivers should be supported during the initial use period. Recommendations for a tutor system that guides drivers in their initial use of partially automated cars are necessary. To gain inspiration for such a tutor system, we examined the existing communication loop of driving instructors and their students. Driving instructors and their students were video recorded during regular driving lessons. The tutoring patterns that were found (i.e. situation and student adaptive feedback, student adaptive tasks, body movements for correcting and requesting actions) during the initial qualitative analysis are discussed. Furthermore, we suggest methods how to implement the tutoring patterns in a tutor system to support drivers in the use partially automated cars.
KW - Automated driving
KW - Feedback
KW - Observation study
KW - Tutorial
UR - http://www.scopus.com/inward/record.url?scp=85073597070&partnerID=8YFLogxK
U2 - 10.1145/3349263.3351504
DO - 10.1145/3349263.3351504
M3 - Conference contribution
AN - SCOPUS:85073597070
SP - 410
EP - 414
BT - AutomotiveUI'19 - proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings
PB - Association for Computing Machinery (ACM)
ER -