An Open Road Evaluation of a Self-Driving Vehicle Human–Machine Interface Designed for Visually Impaired Users
Abstract
Fully autonomous or “self-driving” vehicles are an emerging technology that may hold tremendous mobility potential for individuals who are visually impaired who have been previously disadvantaged by an inability to operate conventional motor vehicles. Prior studies however, have suggested that these consumers have significant concerns regarding the accessibility of this technology and their ability to effectively interact with it. We present the results of a quasi-naturalistic study, conducted on public roads with 20 visually impaired users, designed to test a self-driving vehicle human–machine interface. This prototype system, ATLAS, was designed in participatory workshops in collaboration with visually impaired persons with the intent of satisfying the experiential needs of blind and low vision users. Our results show that following interaction with the prototype, participants expressed an increased trust in self-driving vehicle technology, an increased belief in its likely usability, an increased desire to purchase it and a reduced fear of operational failures. These findings suggest that interaction with even a simulated self-driving vehicle may be sufficient to ameliorate feelings of distrust regarding the technology and that existing technologies, properly combined, are promising solutions in addressing the experiential needs of visually impaired persons in similar contexts.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The majority of accessibility focused BLV projects have primarily concerned the in-vehicle stage of AV travel.
“Although the majority of accessibility focused BLV projects have primarily concerned the in-vehicle stage of AV travel [2, 3, 7, 10, 12, 16, 17]”
From Get In Touch with Your Seat: Accessible Seat Localization for Blind and Low Vision Travelers in Autonomous Shuttles (2026) · cites this paper as [3]
Cites
SUS: A 'Quick and Dirty' Usability Scale
(1996) · Usability Evaluation In Industry · doi:10.1201/9781498710411-35 · Cited by 8,989 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Participation at What Cost? Teaching Accessibility Using Participatory Design: An Experience Report
Brinkley, J. (2020) · Proceedings of the 51st ACM Technical Symposium on Computer Science Education · doi:10.1145/3328778.3366931 · Cited by 12 · see citing works
Self-citationAccessible Maps for the Future of Inclusive Ridesharing
Fink, P. D. S., Milne, H., Caccese, A., Alsamsam, M., Loranger, J., Colley, M., & Giudice, N. A. (2024) · Proceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications · doi:10.1145/3640792.3675736 · Cited by 8 · see citing works
“…a growing corpus of work has investigated how to enable accessible nonvisual information in the vehicle through auditory/conversational interaction [9], ultrasonic haptics [14], and mid-air gestures [15], far less is known about how to improve information access in the important pre-journey phase…”
D. S. Fink, P., R Brown, J., M Movalia, R., J James, K., E Kastelein, M., Bond, J., E Andrulis, M., & A Giudice, N. (2026) · Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772363.3798714
- Authors
- Brinkley, J., Posadas, B., Sherman, I., Daily, S. B., & Gilbert, J. E.
- Affiliations
- University of Florida (US)
- Corresponding author
- Brinkley, Julian
- Venue
- International Journal of Human–Computer Interaction
- Publisher
- Informa UK Limited
- Published
- 2019-01-08
- Volume
- 35
- Issue
- 11
- Pages
- 1018-1032
- ISSN
- 1044-7318 (ISSN-L)
- 1532-7590
- OpenAlex
- W2910687140
- Cited by
- 66
- References
- 1
- Citations by year
- 2026: 4 · 2025: 8 · 2024: 14 · 2023: 11 · 2022: 7 · 2021: 9 · 2020: 10 · 2019: 2 · 2018: 1
- FWCI
- 8.80
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Human-Computer Interaction (publishedVersion)
- Topics
- Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
- Health Sciences › Health Professions › Occupational Therapy › Assistive Technology in Communication and Mobility
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Keywords
- autonomous vehicles, human-machine interaction, visually impaired users, blind and visually impaired users, accessibility, technology acceptance, participatory design, mobility for people with disabilities
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review