Autonomous vehicle (AV) technologies are rapidly evolving with the vision of having self-driving cars moving safely with no human input. However, it is clear that at least in the near and foreseeable future, AVs will not be able to resolve all road incidents and that in some situations remote human assistance will be required. However, remote driving is not trivial and introduces many challenges stemming mostly from the physical disconnect of the remote operator. In order to highlight these challenges and understand how to better design AV teleoperation interfaces, we conducted several observations of AV teleoperation sessions as well as in-depth interviews with 14 experts. Based on these interviews, we provide an investigation and analysis of the major AV teleoperation challenges. We follow this by providing design suggestions for the development of future teleoperation interfaces for assistance and driving of AVs.
|Title of host publication||CHI 2022 - Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems|
|Publisher||Association for Computing Machinery|
|State||Published - 29 Apr 2022|
|Event||2022 CHI Conference on Human Factors in Computing Systems, CHI 2022 - Virtual, Online, United States|
Duration: 30 Apr 2022 → 5 May 2022
|Name||Conference on Human Factors in Computing Systems - Proceedings|
|Conference||2022 CHI Conference on Human Factors in Computing Systems, CHI 2022|
|Period||30/04/22 → 5/05/22|
Bibliographical noteFunding Information:
The research was supported by the Israeli Innovation Authority through the Andromeda consortium. We would like to thank the people from DriveU and especially Eli Shapira for allowing us to participate in their remote driving experiment and for their support in this study. We would also like to thank all our interviewees for sharing their knowledge and insights.
© 2022 ACM.
- Autonomous vehicles
- Remote driving
- Teleoperation challenges
- User interface design
ASJC Scopus subject areas
- Human-Computer Interaction
- Computer Graphics and Computer-Aided Design