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Applications of Self-Driving Vehicles in an Aging Population

Applications of Self-Driving Vehicles in an Aging Population

In the United States, driving remains a symbol of independence and is an important means to maintain a connection to and identity within the community. For many community-dwelling older adults, private vehicles remain the primary mode of transportation. In the United States, there are over 55 million licensed automobile drivers over 65 years of age, comprising over 25% of the total driving population [1].

Sara Shu, Benjamin K P Woo

JMIR Form Res 2025;9:e66180

Toward Safe and Confident Silver Drivers: Interview Study Investigating Older Adults’ Driving Practices

Toward Safe and Confident Silver Drivers: Interview Study Investigating Older Adults’ Driving Practices

Through semistructured interviews with 20 participants aged ≥65 years who were actively driving, we explored their perceptions of their driving abilities, identified the challenges they face while driving, examined strategies for managing these challenges, and assessed the efforts they put into maintaining their driving capabilities, if any.

Sunyoung Kim, Phaneendra Sivangula

JMIR Aging 2024;7:e57402

The Quality, Readability, and Accuracy of the Information on Google About Cannabis and Driving: Quantitative Content Analysis

The Quality, Readability, and Accuracy of the Information on Google About Cannabis and Driving: Quantitative Content Analysis

Certain cannabis use behaviors can increase the risk of experiencing harmful effects [3], such as daily use of cannabis, using cannabis products with high tetrahydrocannabinol content, or driving under the influence of cannabis (DUIC) [4]. In Canada, approximately 1-2 out of every 5 cannabis consumers engage in some form of risky behaviors [3], with 4%-12% of all injuries and deaths from motor vehicle accidents being attributed to DUIC [5].

Maria Josey, Dina Gaid, Lisa D Bishop, Michael Blackwood, Maisam Najafizada, Jennifer R Donnan

JMIR Infodemiology 2023;3:e43001

Development of an Android-Based Self-Report Assessment for Elderly Driving Risk (SAFE-DR) App: Mixed Methods Study

Development of an Android-Based Self-Report Assessment for Elderly Driving Risk (SAFE-DR) App: Mixed Methods Study

Therefore, it is becoming increasingly important to develop ways of testing their health status and assessing their suitability for driving [7]. Elderly drivers have the self-control to reflect on their driving ability and prevent driving risk themselves [8]. They generally tend to avoid dangerous driving situations, such as long-duration driving, high-speed driving, and uncomfortable driving situations such as driving at night or in the rain [9].

Ho Sung Hwang, Seong-Youl Choi

JMIR Mhealth Uhealth 2021;9(6):e25310

Evaluating In-Car Movements in the Design of Mindful Commute Interventions: Exploratory Study

Evaluating In-Car Movements in the Design of Mindful Commute Interventions: Exploratory Study

We define perceived stress as the self-reported level of stress and perceived driving performance as a self-reported account of the difficulty of continuing driving while executing the movements. We correct all self-report metrics for individual differences by subtracting against an individual baseline and normalizing repeated measures. We present insights drawn from participants driving under highway (simple) and city (complex) scenarios and using manual and autonomous vehicles.

Pablo Enrique Enrique Paredes, Nur Al-Huda Hamdan, Dav Clark, Carrie Cai, Wendy Ju, James A Landay

J Med Internet Res 2017;19(12):e372