Driving from a Distance: Challenges and Guidelines for Autonomous Vehicle Teleoperation Interfaces

Felix Tener; Joel Lanir

doi:10.1145/3491102.3501827

Driving from a Distance: Challenges and Guidelines for Autonomous Vehicle Teleoperation Interfaces

Felix Tener, Joel Lanir

Department of Information Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original language	English
Title of host publication	CHI 2022 - Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Publisher	Association for Computing Machinery
ISBN (Electronic)	9781450391573
DOIs	https://doi.org/10.1145/3491102.3501827
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

Publication series

Name	Conference on Human Factors in Computing Systems - Proceedings

Conference

Conference	2022 CHI Conference on Human Factors in Computing Systems, CHI 2022
Country/Territory	United States
City	Virtual, Online
Period	30/04/22 → 5/05/22

Bibliographical note

Funding 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.

Publisher Copyright:
© 2022 ACM.

Keywords

Autonomous vehicles
Remote driving
Tele-assistance
Tele-driving
Teleoperation
Teleoperation challenges
User interface design

ASJC Scopus subject areas

Human-Computer Interaction
Computer Graphics and Computer-Aided Design
Software

Access to Document

10.1145/3491102.3501827

Cite this

Tener, F., & Lanir, J. (2022). Driving from a Distance: Challenges and Guidelines for Autonomous Vehicle Teleoperation Interfaces. In CHI 2022 - Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems Article 250 (Conference on Human Factors in Computing Systems - Proceedings). Association for Computing Machinery. https://doi.org/10.1145/3491102.3501827

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title = "Driving from a Distance: Challenges and Guidelines for Autonomous Vehicle Teleoperation Interfaces",

abstract = "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.",

keywords = "Autonomous vehicles, Remote driving, Tele-assistance, Tele-driving, Teleoperation, Teleoperation challenges, User interface design",

author = "Felix Tener and Joel Lanir",

note = "Funding 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. Publisher Copyright: {\textcopyright} 2022 ACM.; 2022 CHI Conference on Human Factors in Computing Systems, CHI 2022 ; Conference date: 30-04-2022 Through 05-05-2022",

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Tener, F & Lanir, J 2022, Driving from a Distance: Challenges and Guidelines for Autonomous Vehicle Teleoperation Interfaces. in CHI 2022 - Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems., 250, Conference on Human Factors in Computing Systems - Proceedings, Association for Computing Machinery, 2022 CHI Conference on Human Factors in Computing Systems, CHI 2022, Virtual, Online, United States, 30/04/22. https://doi.org/10.1145/3491102.3501827

Driving from a Distance: Challenges and Guidelines for Autonomous Vehicle Teleoperation Interfaces. / Tener, Felix; Lanir, Joel.
CHI 2022 - Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 2022. 250 (Conference on Human Factors in Computing Systems - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Driving from a Distance: Challenges and Guidelines for Autonomous Vehicle Teleoperation Interfaces

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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