A Helping Human Hand: Relevant Scenarios for the Remote Operation of Highly Automated Vehicles in Public Transport

Remote operation bears the potential to roll out highly automated vehicles (AVs, SAE Level 4) more safely and quickly. Moreover, legal regulations on highly automated driving, e.g., the current law on highly automated driving (SAE Level 4) in Germany, permit a remote supervisor to monitor and interv...

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Main Authors: Carmen Kettwich, Andreas Schrank, Hüseyin Avsar, Michael Oehl
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/12/9/4350
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author Carmen Kettwich
Andreas Schrank
Hüseyin Avsar
Michael Oehl
author_facet Carmen Kettwich
Andreas Schrank
Hüseyin Avsar
Michael Oehl
author_sort Carmen Kettwich
collection DOAJ
description Remote operation bears the potential to roll out highly automated vehicles (AVs, SAE Level 4) more safely and quickly. Moreover, legal regulations on highly automated driving, e.g., the current law on highly automated driving (SAE Level 4) in Germany, permit a remote supervisor to monitor and intervene in driving operations remotely in lieu of a safety operator on board AVs. In order to derive requirements for safe and effective remote driving and remote assistance of AVs and to create suitable human-centered design solutions for human-machine interfaces (HMIs) that serve this purpose, a set of 74 core scenarios that are likely to occur in public transport AVs under remote operation was compiled. The scenarios were collected in several projects on the remote operation of AVs across a variety of contexts including interviews with and observations of control center staff, video analyses from naturalistic road events, and interviews with safety operators of AVs. A hierarchical system that is based on interactions of central actors was used to structure the scenarios. The set explicates relevant cases in remote operation, which may help improve workplaces for remote operation both by combatting human factors issues such as distraction and fatigue, and by boosting usability, user experience, trust, and acceptance. As the catalogue of scenarios is not exhaustive, scenarios may be added as knowledge of the remote operation of AVs progresses. Further research is needed to validate and adapt the scenarios to specific conceptualizations of remote operations.
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spelling doaj.art-233d92e584164f15bc2dcb95fa17d1c02023-11-23T07:47:50ZengMDPI AGApplied Sciences2076-34172022-04-01129435010.3390/app12094350A Helping Human Hand: Relevant Scenarios for the Remote Operation of Highly Automated Vehicles in Public TransportCarmen Kettwich0Andreas Schrank1Hüseyin Avsar2Michael Oehl3German Aerospace Center (DLR), Institute of Transportation Systems, Lilienthalplatz 7, 38108 Braunschweig, GermanyGerman Aerospace Center (DLR), Institute of Transportation Systems, Lilienthalplatz 7, 38108 Braunschweig, GermanyGerman Aerospace Center (DLR), Institute of Transportation Systems, Lilienthalplatz 7, 38108 Braunschweig, GermanyGerman Aerospace Center (DLR), Institute of Transportation Systems, Lilienthalplatz 7, 38108 Braunschweig, GermanyRemote operation bears the potential to roll out highly automated vehicles (AVs, SAE Level 4) more safely and quickly. Moreover, legal regulations on highly automated driving, e.g., the current law on highly automated driving (SAE Level 4) in Germany, permit a remote supervisor to monitor and intervene in driving operations remotely in lieu of a safety operator on board AVs. In order to derive requirements for safe and effective remote driving and remote assistance of AVs and to create suitable human-centered design solutions for human-machine interfaces (HMIs) that serve this purpose, a set of 74 core scenarios that are likely to occur in public transport AVs under remote operation was compiled. The scenarios were collected in several projects on the remote operation of AVs across a variety of contexts including interviews with and observations of control center staff, video analyses from naturalistic road events, and interviews with safety operators of AVs. A hierarchical system that is based on interactions of central actors was used to structure the scenarios. The set explicates relevant cases in remote operation, which may help improve workplaces for remote operation both by combatting human factors issues such as distraction and fatigue, and by boosting usability, user experience, trust, and acceptance. As the catalogue of scenarios is not exhaustive, scenarios may be added as knowledge of the remote operation of AVs progresses. Further research is needed to validate and adapt the scenarios to specific conceptualizations of remote operations.https://www.mdpi.com/2076-3417/12/9/4350human-machine interactionscenariosuse casesremote operationhighly automated vehiclesuser-centered design
spellingShingle Carmen Kettwich
Andreas Schrank
Hüseyin Avsar
Michael Oehl
A Helping Human Hand: Relevant Scenarios for the Remote Operation of Highly Automated Vehicles in Public Transport
Applied Sciences
human-machine interaction
scenarios
use cases
remote operation
highly automated vehicles
user-centered design
title A Helping Human Hand: Relevant Scenarios for the Remote Operation of Highly Automated Vehicles in Public Transport
title_full A Helping Human Hand: Relevant Scenarios for the Remote Operation of Highly Automated Vehicles in Public Transport
title_fullStr A Helping Human Hand: Relevant Scenarios for the Remote Operation of Highly Automated Vehicles in Public Transport
title_full_unstemmed A Helping Human Hand: Relevant Scenarios for the Remote Operation of Highly Automated Vehicles in Public Transport
title_short A Helping Human Hand: Relevant Scenarios for the Remote Operation of Highly Automated Vehicles in Public Transport
title_sort helping human hand relevant scenarios for the remote operation of highly automated vehicles in public transport
topic human-machine interaction
scenarios
use cases
remote operation
highly automated vehicles
user-centered design
url https://www.mdpi.com/2076-3417/12/9/4350
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