ArticleFrontiers in psychology2021
Attitudes Toward Four Levels of Self-Driving Technology Among Elderly Drivers.
Article in Frontiers in psychology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Predictors of Return to Driving in Patients With Acquired Brain Injury: A Systematic Review With Meta-Analysis.Occupational therapy international · 2026Pooled it
- Enhancing Driving Ability in Older Adults through Health Exercises and Physical Activity: A Randomized Controlled Trial.International journal of environmental research and public health · 2023Trial
- Applications of Self-Driving Vehicles in an Aging Population.JMIR formative research · 2025Article
- Relationship between Driving Ability and Physical Fitness Factors in Older Adults: A Multiple Linear Regression Analysis.International journal of environmental research and public health · 2024Article
- A study of safety acceptance and behavioral interventions for autonomous driving technologies.Scientific reports · 2022Article
- Preferred Sources of Information, Knowledge, and Acceptance of Automated Vehicle Systems: Effects of Gender and Age.Frontiers in psychology · 2022Article
- A study on psychological determinants of users' autonomous vehicles adoption from anthropomorphism and UTAUT perspectives.Frontiers in psychology · 2022Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Automatization and autonomous vehicles can drastically improve elderly drivers' safety and mobility, with lower costs to the driver and the environment. While autonomous vehicle technology is developing rapidly, much less attention and resources have been devoted to understanding the acceptance, attitudes, and preferences of vehicle automatization among driver groups, such as the elderly. In this study, 236 elderly drivers (≥65 years) evaluated four vehicles representing SAE levels 2-5 in terms of safety, trustworthiness, enjoyment, reliability, comfort, ease of use, and attractiveness, as well as reporting preferences for vehicles employing each of the four levels of automation. The results of a repeated-measures ANOVA showed that the elderly drivers rated the SAE level 2 vehicle highest and the fully automated vehicle (SAE 5) lowest across all attributes. The preference for the vehicle declined as a function of increasing automatization. The seven attributes formed an internally coherent "attitude to automatization" scale, a strong correlate of vehicle preference. Age or annual mileage were not related to attitudes or preferences for automated vehicles. The current study shows that elderly drivers' attitudes toward automatization should be studied further, and these results should be taken into account when developing automated vehicles. The full potential of automatization may not be realized if elderly drivers are ignored.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.