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Journal Article

Citation

Hartwich F, Witzlack C, Beggiato M, Krems JF. Transp. Res. F Traffic Psychol. Behav. 2019; 65: 522-535.

Copyright

(Copyright © 2019, Elsevier Publishing)

DOI

10.1016/j.trf.2018.05.012

PMID

unavailable

Abstract

Highly automated driving (HAD) is expected to improve future road transport, especially for older adults, provided that it is trusted and accepted by drivers. Research on Advanced Driver Assistance Systems (ADAS) suggests that system experience can enhance drivers' trust and acceptance. To evaluate the transferability of this result to HAD, we examined the development of drivers' trust and acceptance regarding this technology at different stages of system experience in a driving simulator as well as on a test track. Age effects were additionally addressed by comparing the results of 20 younger (25-45 years) and 20 older (65-85 years) drivers in the driving simulator study. Trust and acceptance were assessed before the initial system experience as well as after the first and second automated drive. Both age groups showed slightly positive a priori trust and acceptance ratings, which significantly increased after the initial experience and remained stable afterwards. Older drivers reported a more positive attitude towards using HAD despite their lower self-assessed self-efficacy and environmental conditions facilitating HAD-usage (e.g. technical support) compared to younger drivers. In the subsequent test track study, trust and acceptance of the younger driver group were assessed before and after experiencing HAD in a test vehicle. Neither trust nor acceptance decreased despite the absence of further system experiences between both studies and the increased realism on the test track. These results underline the importance of the initial system experience for HAD-trust and -acceptance and emphasize the significance of automotive technologies for the preservation of older drivers' mobility.


Language: en

Keywords

Age effects; Drivers’ age; Driving automation; Older drivers; Trust in automation; Unified theory of acceptance and use of technology

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