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  5. Acceptance and Trust: Drivers’ First Contact With Released Automated Vehicles in Naturalistic Traffic
 
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2024
Zweitveröffentlichung
Artikel
Verlagsversion

Acceptance and Trust: Drivers’ First Contact With Released Automated Vehicles in Naturalistic Traffic

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Hauptpublikation
10654663.pdf
CC BY 4.0 International
Format: Adobe PDF
Size: 9.98 MB
TUDa URI
tuda/13650
URN
urn:nbn:de:tuda-tuprints-298710
DOI
10.26083/tuprints-00029871
Autor:innen
Schwindt-Drews, Sarah ORCID 0000-0002-7281-6768
Storms, Kai Hendrik ORCID 0000-0002-9551-5466
Peters, Steven ORCID 0000-0003-3131-1664
Abendroth, Bettina ORCID 0000-0003-4431-4661
Kurzbeschreibung (Abstract)

This study investigates the impact of initial contact of drivers with an SAE Level 3 Automated Driving System (ADS) under real traffic conditions, focusing on the Mercedes-Benz Drive Pilot in the EQS. It examines Acceptance, Trust, Usability, and User Experience. Although previous studies in simulated environments provided insights into human-automation interaction, real-world experiences can differ significantly. The research was conducted on a segment of German interstate with 30 participants lacking familiarity with SAE Level 3 ADS. Pre- and post-driving questionnaires were used to assess changes in acceptance and trust. Supplementary metrics included post-driving ratings for usability and user experience. Findings reveal a significant increase in acceptance and trust following the first contact, confirming results from prior studies. Factors such as Performance Expectancy, Effort Expectancy, Facilitating Condition, and Perceived Safety were rated higher after initial contact with the ADS. However, inadequate communication from the ADS to the human driver was detected, highlighting the need for improved communication to prevent misuse or confusion about the operating mode. However, it’s worth noting that most participants already had a high affinity for technology. Although overall reception was positive and showed an upward trend post first contact, the ADS was also perceived as demanding as manual driving. Future research should focus on a more diverse participant sample and include longer or multiple real-traffic trips to understand behavioral adaptations over time.

Freie Schlagworte

Automated driving

acceptance

trust

Sprache
Englisch
Fachbereich/-gebiet
16 Fachbereich Maschinenbau > Fachgebiet Fahrzeugtechnik (FZD)
16 Fachbereich Maschinenbau > Institut für Arbeitswissenschaft (IAD)
DDC
600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau
Institution
Universitäts- und Landesbibliothek Darmstadt
Ort
Darmstadt
Titel der Zeitschrift / Schriftenreihe
IEEE Transactions on Intelligent Transportation Systems
Startseite
18601
Endseite
18610
Jahrgang der Zeitschrift
25
Heftnummer der Zeitschrift
11
ISSN
1558-0016
Verlag
IEEE
Ort der Erstveröffentlichung
New York, NY
Publikationsjahr der Erstveröffentlichung
2024
Verlags-DOI
10.1109/TITS.2024.3443927
PPN
532916611

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