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Transparent Passenger Communication during Minimal Risk Maneuvers in Highly Automated Vehicles (L4)

Brandt, Thorben und Wilbrink, Marc und Oehl, Michael (2023) Transparent Passenger Communication during Minimal Risk Maneuvers in Highly Automated Vehicles (L4). DGPs Summer School Human Factors, 2023-09-25 - 2023-09-27, Chemnitz, Deutschland.

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Kurzfassung

Highly automated vehicles (HAVs, SAE 4) promise efficient, safe and inclusive transportation at an affordable price. Advanced concepts were developed without any fallback driver inside the vehicle. Though this is necessary to improve efficiency and affordability, it creates an unknown situation for future passengers. They no longer have a human driver present to reassure in uncertain situations, for example in minimal risk maneuvers (MRMs). MRMs are triggered when the vehicle automation encounters situations it cannot handle. In these situations, the HAV needs further assistance, which can be realized by the use of remote operation (RO). RO incorporates a human operator, who supports the HAV remotely (e.g. from distance) during MRMs and gives instructions to resolve these unknown situations. The combination of new situations, and the lack of a driver who could interact with passengers results in the need for new informational concepts inside the HAVs. The design and information richness of these concepts most likely influence passenger’s experience and acceptance of HAVs. Additionally, a basic and more intuitive understanding of the automation and its functionalities might be beneficial for passengers’ experience. Previous studies indicate that providing transparency by design might improve passengers understanding of the automation systems and increase trust. In theory, transparency improves when information about the actions and reasoning of a systems behavior is presented alongside its behavior. Yet, the specific design of informational interfaces in order to be transparent about the reasoning, especially in MRMs, is still unclear. Therefore, we investigated the impact of promising factors in an online study. Participants of the study evaluated different interfaces in multiple scenarios, where the HAV has to perform an MRM. The presented interfaces varied in displayed information richness to systematically manipulate transparency in the vehicle automation. The information varied concerning the vehicle´s behavior and reasoning. The design with the highest information richness also added expected consequences, like delay time, to the interface. The results of this study indicate that improvements of passenger’s understanding in MRMs are linked with increased transparency of provided information. Understanding regarding those MRMs scored significantly higher in the information richest design compared to the design without MRM specific information.

elib-URL des Eintrags:https://elib.dlr.de/200693/
Dokumentart:Konferenzbeitrag (Poster)
Titel:Transparent Passenger Communication during Minimal Risk Maneuvers in Highly Automated Vehicles (L4)
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Brandt, Thorbenthorben.brandt (at) dlr.dehttps://orcid.org/0009-0009-6346-7947NICHT SPEZIFIZIERT
Wilbrink, Marcmarc.wilbrink (at) dlr.dehttps://orcid.org/0000-0002-7550-8613NICHT SPEZIFIZIERT
Oehl, MichaelMichael.Oehl (at) dlr.dehttps://orcid.org/0000-0002-0871-2286NICHT SPEZIFIZIERT
Datum:2023
Referierte Publikation:Nein
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Status:veröffentlicht
Stichwörter:Human-Computer Interaction, Highly Automated Vehicles (HAVs, SAE L4), Remote Operation, Explainable AI (XAI)
Veranstaltungstitel:DGPs Summer School Human Factors
Veranstaltungsort:Chemnitz, Deutschland
Veranstaltungsart:nationale Konferenz
Veranstaltungsbeginn:25 September 2023
Veranstaltungsende:27 September 2023
Veranstalter :Deut­sche Ge­sell­schaft für Psy­cho­lo­gie
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 - VMo4Orte - Vernetzte Mobilität für lebenswerte Orte
Standort: Braunschweig
Institute & Einrichtungen:Institut für Verkehrssystemtechnik > Kooperative Systeme, BS
Hinterlegt von: Brandt, Thorben
Hinterlegt am:11 Dez 2023 12:27
Letzte Änderung:24 Apr 2024 21:01

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