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An Eye on the Automation: User-Centered Development of a Human-Machine Interface for the Remote Assistance of Highly Automated Vehicles (SAE 4)

Schrank, Andreas Gottfried und Kettwich, Carmen und Oehl, Michael (2022) An Eye on the Automation: User-Centered Development of a Human-Machine Interface for the Remote Assistance of Highly Automated Vehicles (SAE 4). In: 2022 IEEE Intelligent Vehicles Symposium (IV 2022). 33rd IEEE Intelligent Vehicles Symposium (IV22), June 5, 2022, Aachen, Germany. (im Druck)

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Offizielle URL: https://ieee-itss.org/conf/iv/

Kurzfassung

Automated driving is a disruptive technology related to a plethora of safety-related, economical, and ecological improvements. However, even cutting-edge driving automation technology at SAE Level 4 is not capable of coping with all scenarios that can possibly occur in naturalistic road traffic. A remote operator may be a viable approach to observe highly automated vehicles (HAVs) from a control center and assist the automation whenever its capabilities are exceeded. Moreover, legal requirements in Germany dictate a “Technical Supervisor” be monitoring automated driving operations. For the safe, effective, and efficient interaction between remote operator and vehicle automation it is therefore vital to design a human-machine interface (HMI) by centrally involving its future users and focusing on the scenarios that will likely occur in Level 4 automated driving. By pursuing a user- and context-centered approach, an HMI for the Remote Assistance of HAVs has been generated. The HMI has been evaluated by experts and prototypically implemented as a workplace for the Remote Assistant, is currently under usability evaluation in a user study and will be refined in future iterations. After presenting this process, a roadmap to further investigate teleoperation from a Human Factors perspective will be proposed.

elib-URL des Eintrags:https://elib.dlr.de/186724/
Dokumentart:Konferenzbeitrag (Vortrag)
Titel:An Eye on the Automation: User-Centered Development of a Human-Machine Interface for the Remote Assistance of Highly Automated Vehicles (SAE 4)
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Schrank, Andreas GottfriedAndreas.Schrank (at) dlr.dehttps://orcid.org/0000-0001-8352-1052NICHT SPEZIFIZIERT
Kettwich, CarmenCarmen.Kettwich (at) dlr.dehttps://orcid.org/0000-0001-6814-7058NICHT SPEZIFIZIERT
Oehl, MichaelMichael.Oehl (at) dlr.dehttps://orcid.org/0000-0002-0871-2286NICHT SPEZIFIZIERT
Datum:Juni 2022
Erschienen in:2022 IEEE Intelligent Vehicles Symposium (IV 2022)
Referierte Publikation:Ja
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Status:im Druck
Stichwörter:Human-Machine Interface, User-Centered Design, Automated Driving, Remote Operation
Veranstaltungstitel:33rd IEEE Intelligent Vehicles Symposium (IV22)
Veranstaltungsort:Aachen, Germany
Veranstaltungsart:internationale Konferenz
Veranstaltungsdatum:June 5, 2022
Veranstalter :IEEE
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Verkehr
HGF - Programmthema:Verkehrssystem
DLR - Schwerpunkt:Verkehr
DLR - Forschungsgebiet:V VS - Verkehrssystem
DLR - Teilgebiet (Projekt, Vorhaben):V - Energie und Verkehr (alt)
Standort: Braunschweig
Institute & Einrichtungen:Institut für Verkehrssystemtechnik > Kooperative Systeme, BS
Hinterlegt von: Schrank, Andreas Gottfried
Hinterlegt am:13 Jun 2022 09:44
Letzte Änderung:13 Jun 2022 09:44

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