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Am I Too Old to Drive?: Opinions of Older Adults on Self-Driving Vehicles

Published: 24 October 2019 Publication History

Abstract

Fully autonomous or "self-driving" vehicles are an emerging technology that may hold significant mobility potential for both disabled persons and for older adults unable to operate a conventional motor vehicle. It can be argued, however, that the needs, preferences and concerns of older adults and disabled persons regarding this technology have been insufficiently explored. Using focus group methodology, this study explores the sentiments of 39 older adults (55+) regarding self driving vehicle technology. Discussions from the focus groups revealed that although participants believed that self-driving vehicles can enhance their mobility and independence, they were concerned about their reliability and safety. Participants expressed additional concerns regarding their ability to purchase such a vehicle and the training required to operate it. Opinions were mixed regarding the consideration of older adults in the design of the technology.

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cover image ACM Conferences
ASSETS '19: Proceedings of the 21st International ACM SIGACCESS Conference on Computers and Accessibility
October 2019
730 pages
ISBN:9781450366762
DOI:10.1145/3308561
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 24 October 2019

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Author Tags

  1. autonomous vehicles
  2. older adults
  3. self-driving vehicles

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ASSETS '19 Paper Acceptance Rate 41 of 158 submissions, 26%;
Overall Acceptance Rate 436 of 1,556 submissions, 28%

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  • (2024)Are the External Human-Machine Interfaces (eHMI) Accessible for People with Disabilities? A Systematic Review2024 IEEE 4th International Conference on Human-Machine Systems (ICHMS)10.1109/ICHMS59971.2024.10555703(1-6)Online publication date: 15-May-2024
  • (2024)Experiencing Start with One: Increasing Black Student Interest in Graduate Computer Science Education Using Accessibility Workshops2024 Black Issues in Computing Education (BICE)10.1109/BICE60192.2024.00018(63-68)Online publication date: 1-Feb-2024
  • (2023)DRIVER’S ACCEPTANCE OF FULLY AUTOMATED VEHICLESAnnals of the Academy of Romanian Scientists Series on Engineering Sciences10.56082/annalsarscieng.2023.1.9915:1(99-111)Online publication date: 2023
  • (2023)The Elderly Acceptance of Autonomous Vehicle Services in Beijing, ChinaInternational Review for Spatial Planning and Sustainable Development10.14246/irspsd.11.1_6411:1(64-84)Online publication date: 15-Jan-2023
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