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Towards a Universal Explicit Communication Design of External Human-Machine Interfaces (eHMI) for Differently Sized Highly Automated Vehicles Evaluated by Different Pedestrian Age Groups

Oehl, Michael und Lau, Merle und Gehreke, Laura und Wilbrink, Marc (2022) Towards a Universal Explicit Communication Design of External Human-Machine Interfaces (eHMI) for Differently Sized Highly Automated Vehicles Evaluated by Different Pedestrian Age Groups. In: 19th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2022 Held as Part of the 24th HCI International Conference, HCII 2022, 1655, Seiten 391-398. Springer Nature. HCI International 2022 (HCII 2022), 2022-06-26 - 2022-07-01, Washington, D.C., USA. doi: 10.1007/978-3-031-19682-9_50. ISBN 978-303106085-4. ISSN 0302-9743.

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Offizielle URL: https://link.springer.com/chapter/10.1007/978-3-031-19682-9_50

Kurzfassung

This research deals with the design of external human-machine interfaces (eHMI) for two differently sized highly automated vehicle types (passenger car vs. bus) focusing on the interaction between highly automated vehicles (HAVs) and pedestrians of different age groups. Research has shown that at least in some situations HAVs need to be able to communicate explicitly via an eHMI with their surrounding traffic environment ensuring a safe and accepted interaction among all traffic participants (TPs), e.g., pedestrians. Therefore, their messages should be universally understood. The question that arises is how TPs’ information needs may differ for different vehicle types, how this needs to be considered in the eHMI design and if different TP age groups, especially elderly, need other information for a safe and accepted interaction. However, little research addressing this question was done so far. Results of our current experimental online study (N = 321) in a shared space setting revealed that especially explicit communication via an eHMI is beneficial for interaction. Furthermore, results indicated an overall good implementation of the explicit eHMI communication strategies. Pedestrians felt safer, better informed, and indicated a more positive affective valence in interaction with HAVs with dynamic eHMI vs. static eHMI vs. no eHMI. In terms of a universal design, this was true for all age groups. As vehicle type had a significant effect on the pedestrians’ feelings of safety and their perceived affective valence in interaction, eHMI might have an especially beneficial effect when interacting as a pedestrian with a large vehicle.

elib-URL des Eintrags:https://elib.dlr.de/191620/
Dokumentart:Konferenzbeitrag (Poster)
Zusätzliche Informationen:This research was funded by the German Federal Ministry for Economic Affairs and Climate Action within the project @CITY: Automated Cars and Intelligent Traffic in the City, grant number 19A17015B.
Titel:Towards a Universal Explicit Communication Design of External Human-Machine Interfaces (eHMI) for Differently Sized Highly Automated Vehicles Evaluated by Different Pedestrian Age Groups
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Oehl, MichaelMichael.Oehl (at) dlr.dehttps://orcid.org/0000-0002-0871-2286NICHT SPEZIFIZIERT
Lau, MerleMerle.Lau (at) dlr.dehttps://orcid.org/0000-0003-4852-034XNICHT SPEZIFIZIERT
Gehreke, LauraL.Gehreke (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Wilbrink, Marcmarc.wilbrink (at) dlr.dehttps://orcid.org/0000-0002-7550-8613NICHT SPEZIFIZIERT
Datum:2022
Erschienen in:19th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2022 Held as Part of the 24th HCI International Conference, HCII 2022
Referierte Publikation:Ja
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Nein
Band:1655
DOI:10.1007/978-3-031-19682-9_50
Seitenbereich:Seiten 391-398
Verlag:Springer Nature
Name der Reihe:Communications in Computer and Information Science (CCIS)
ISSN:0302-9743
ISBN:978-303106085-4
Status:veröffentlicht
Stichwörter:HMI, eHMI, AVF, CAV, HAV, Psychology, Psychologie, Human Factors, Automated Vehicles, Automated Driving, Interaction, User, Elder, Inclusive Design, Universal Design, Traffic, Verkehrspsychologie, Ingenieurpsychologie, Verkehr
Veranstaltungstitel:HCI International 2022 (HCII 2022)
Veranstaltungsort:Washington, D.C., USA
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:26 Juni 2022
Veranstaltungsende:1 Juli 2022
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Verkehr
HGF - Programmthema:Straßenverkehr
DLR - Schwerpunkt:Verkehr
DLR - Forschungsgebiet:V ST Straßenverkehr
DLR - Teilgebiet (Projekt, Vorhaben):V - KoKoVI - Koordinierter kooperativer Verkehr mit verteilter, lernender Intelligenz
Standort: Braunschweig
Institute & Einrichtungen:Institut für Verkehrssystemtechnik > Kooperative Systeme, BS
Institut für Verkehrssystemtechnik > Informationsflussmodellierung in Mobilitätssystemen, BS
Hinterlegt von: Oehl, Dr. Michael
Hinterlegt am:06 Dez 2022 11:19
Letzte Änderung:12 Jul 2024 11:39

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