Advanced Driver Assistance Systems for Aging Drivers

Hanna Braun, Lars E. M. Akkermans, Magdalena Gärtner, Marije Seinen, Manfred Tscheligi, Sandra Trösterer, Alexander Meschtscherjakov (Vortragende:r)

Publikation: Beitrag in Buch oder TagungsbandVortrag mit Beitrag in TagungsbandBegutachtung

Abstract

Advanced Driver Assistance Systems (ADAS) aim to increase safety by supporting drivers in the driving task. Especially older drivers (65+ years), given the nature of aging, could benefit from these systems. However, little is known about older drivers´ acceptance of ADAS in general and how particular acceptance aspects influence their intention to use such systems. To address this research gap, we present results from a large-scale online survey (n=1328) with aging drivers, which was conducted in three European countries in 2019. We identified several demographic and driving-related variables, which are significantly related to acceptance. Furthermore, we found that older drivers´ intention to use ADAS is most strongly predicted by favorable acceptance aspects (i.e., usefulness, reassurance, and trust), while unfavorable aspects (i.e., annoyance, irritation, and stress) were found to have less to none predictive power. The findings are discussed considering future research directions in this area.
OriginalspracheEnglisch
TitelAutomotiveUI '19: Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
Seiten123-133
Seitenumfang11
DOIs
PublikationsstatusVeröffentlicht - 2019
VeranstaltungAutomotiveUI'19 - 11th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications -
Dauer: 22 Sept. 201925 Sept. 2019

Konferenz

KonferenzAutomotiveUI'19 - 11th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications
Zeitraum22/09/1925/09/19

Research Field

  • Ehemaliges Research Field - Technology Experience

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