Joisten, Philip ; Alexandi, Emanuel ; Drews, Robin ; Klassen, Liane ; Petersohn, Patrick ; Pick, Alexander ; Schwindt, Sarah ; Abendroth, Bettina
Hrsg.: Ahram, Tarek ; Karwowski, Waldemar ; Pickl, Stefan ; Taiar, Redha (2020)
Displaying Vehicle Driving Mode : Effects on Pedestrian Behavior and Perceived Safety.
2nd International Conference on Human Systems Engineering and Design (IHSED2019): Future Trends and Applications. München (16.09.2019-18.09.2019)
doi: 10.25534/tuprints-00013460
Konferenzveröffentlichung, Zweitveröffentlichung, Postprint
 | Es ist eine neuere Version dieses Eintrags verfügbar. |
Kurzbeschreibung (Abstract)
The type and amount of information pedestrians should receive while interacting with an autonomous vehicle (AV) remains an unsolved challenge. The infor-mation about the vehicle driving mode could help pedestrians to develop the right expectations regarding further actions. The aim of this study is to investigate how the information about the vehicle driving mode affects pedestrian crossing behav-ior and perceived safety. A controlled field experiment using a Wizard-of-Oz ap-proach to simulate a driverless vehicle was conducted. 28 participants experienced a driverless and a human-operated vehicle from the perspective of a pedestrian. The vehicle was equipped with an external human machine interface (eHMI) that displayed the driving mode of the vehicle (driverless vs. human-operated). The results show that the crossing behavior, measured by critical gap acceptance, and the subjective reporting of perceived safety did not differ statistically significantly between the driverless and the human-operated driving condition.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2020 |
| Herausgeber: | Ahram, Tarek ; Karwowski, Waldemar ; Pickl, Stefan ; Taiar, Redha |
| Autor(en): | Joisten, Philip ; Alexandi, Emanuel ; Drews, Robin ; Klassen, Liane ; Petersohn, Patrick ; Pick, Alexander ; Schwindt, Sarah ; Abendroth, Bettina |
| Art des Eintrags: | Zweitveröffentlichung |
| Titel: | Displaying Vehicle Driving Mode : Effects on Pedestrian Behavior and Perceived Safety |
| Sprache: | Englisch |
| Publikationsjahr: | 14 August 2020 |
| Ort: | Darmstadt |
| Publikationsdatum der Erstveröffentlichung: | 2020 |
| Ort der Erstveröffentlichung: | Cham |
| Verlag: | Springer |
| Buchtitel: | Human Systems Engineering and Design II |
| Reihe: | Advances in Intelligent Systems and Computing |
| Band einer Reihe: | 1026 |
| Veranstaltungstitel: | 2nd International Conference on Human Systems Engineering and Design (IHSED2019): Future Trends and Applications |
| Veranstaltungsort: | München |
| Veranstaltungsdatum: | 16.09.2019-18.09.2019 |
| DOI: | 10.25534/tuprints-00013460 |
| URL / URN: | https://tuprints.ulb.tu-darmstadt.de/13460 |
| Zugehörige Links: | |
| Herkunft: | Zweitveröffentlichungsservice |
| Kurzbeschreibung (Abstract): | The type and amount of information pedestrians should receive while interacting with an autonomous vehicle (AV) remains an unsolved challenge. The infor-mation about the vehicle driving mode could help pedestrians to develop the right expectations regarding further actions. The aim of this study is to investigate how the information about the vehicle driving mode affects pedestrian crossing behav-ior and perceived safety. A controlled field experiment using a Wizard-of-Oz ap-proach to simulate a driverless vehicle was conducted. 28 participants experienced a driverless and a human-operated vehicle from the perspective of a pedestrian. The vehicle was equipped with an external human machine interface (eHMI) that displayed the driving mode of the vehicle (driverless vs. human-operated). The results show that the crossing behavior, measured by critical gap acceptance, and the subjective reporting of perceived safety did not differ statistically significantly between the driverless and the human-operated driving condition. |
| Status: | Postprint |
| URN: | urn:nbn:de:tuda-tuprints-134607 |
| Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 100 Philosophie und Psychologie > 150 Psychologie 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau |
| Fachbereich(e)/-gebiet(e): | 16 Fachbereich Maschinenbau 16 Fachbereich Maschinenbau > Institut für Arbeitswissenschaft (IAD) 16 Fachbereich Maschinenbau > Institut für Arbeitswissenschaft (IAD) > Mensch-Maschine-Interaktion & Mobilität |
| Hinterlegungsdatum: | 30 Nov 2020 15:11 |
| Letzte Änderung: | 20 Okt 2023 10:46 |
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| Suche nach Titel in: | TUfind oder in Google |
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- Displaying Vehicle Driving Mode : Effects on Pedestrian Behavior and Perceived Safety. (deposited 30 Nov 2020 15:11) [Gegenwärtig angezeigt]
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