4.7 Article

Age is more than just a number: The relationship among age, non-chronological age factors, self-perceived driving abilities, and autonomous vehicle acceptance

期刊

ACCIDENT ANALYSIS AND PREVENTION
卷 178, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.aap.2022.106850

关键词

Older adults; Autonomous vehicles; Non-chronological age; Self-perceived driving abilities; Crowdsourcing

资金

  1. Link Foundation Modeling, Simulation, and Training Fellowships
  2. NSF [1755746, 2121967]
  3. Direct For Computer & Info Scie & Enginr
  4. Div Of Information & Intelligent Systems [1755746] Funding Source: National Science Foundation
  5. Direct For Social, Behav & Economic Scie
  6. Division Of Behavioral and Cognitive Sci [2121967] Funding Source: National Science Foundation

向作者/读者索取更多资源

Globally, the aging population, especially those aged 65 and older, is growing rapidly. This study examines the effects of non-chronological age factors and self-perceived driving abilities on the acceptance of autonomous vehicles (AVs) among different age groups. The findings show that younger drivers, with higher educational attainment, higher social support, and lower self-perceived driving abilities, are more willing to accept AVs.
Globally, adults aged 65 and older are a rapidly-growing population. Aging is associated with declines in perceptual, cognitive, and physical abilities, which often creates challenges in completing daily activities, such as driving. Autonomous vehicles (AVs) promise to provide older adults one way to maintain their mobility and independence. However, recent surveys of AV acceptance suggest that older adults have a lower AV acceptance compared to younger generations. One challenge is that most of these assessments have not accounted for the various non-chronological age factors that contribute to how older adults perceive their own driving skills and the utility of AVs. To fill this research gap, this study investigated the effects of non-chronological age factors and rated self-perceived driving abilities on AV acceptance across three age groups. An online survey was conducted using Amazon Mechanical Turk (MTurk), for which 438 valid responses were received. Respondents were categorized into a younger (18-40 years), middle-aged (41-64 years), and older (65-79 years) adult age group. Results showed that drivers of a younger age, with higher educational attainment, who rated themselves to have higher social support, and who have lower rated self-perceived driving abilities, report being more willing to accept AVs. Findings from this work can help to inform models of AV technology acceptance and guide in the development of marketing strategies to promote knowledge of AVs.

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