The Autonomous Vehicle Assistant (AVA): Emerging technology design supporting blind and visually impaired travelers in autonomous transportation
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?
Navigating to and identifying the correct AV is a significant challenge for BLV travelers.
“researchers have identified navigating to and identifying the correct AV as a significant challenge for BLV travelers”
From Get In Touch with Your Seat: Accessible Seat Localization for Blind and Low Vision Travelers in Autonomous Shuttles (2026) · cites this paper as [11]
There is a dearth of available research exploring the entering and seat localization portion of the AV trip.
“While researchers have explored new smartphone-based accessibility tools for finding and navigating to AVs [11], as well as using dedicated haptic devices to assist BLV users exiting AVs [18], there is a dearth of available research exploring the equally important entering and seat localization portion of the trip.”
From Get In Touch with Your Seat: Accessible Seat Localization for Blind and Low Vision Travelers in Autonomous Shuttles (2026) · cites this paper as [11]
Unlocking the potential of shared mobility in AVs necessitates providing accessible information across every stage of the AV trip.
“Unlocking this potential necessitates providing accessible information across every stage of the AV trip [6, 11].”
From Get In Touch with Your Seat: Accessible Seat Localization for Blind and Low Vision Travelers in Autonomous Shuttles (2026) · cites this paper as [11]
Unlocking the potential of shared mobility in AVs necessitates providing accessible information across every stage of the AV trip.
“Unlocking this potential necessitates providing accessible information across every stage of the AV trip [6, 11].”
From Get In Touch with Your Seat: Accessible Seat Localization for Blind and Low Vision Travelers in Autonomous Shuttles (2026) · cites this paper as [6]
A computer-vision based smartphone app identified obstacles on the way to the vehicle and the correct door handle.
“developed a computer-vision based smartphone app that both identified obstacles on the way to the vehicle and the correct door handle [11].”
From Get In Touch with Your Seat: Accessible Seat Localization for Blind and Low Vision Travelers in Autonomous Shuttles (2026) · cites this paper as [11]
Cites
Jocher, G., Stoken, A., Borovec, J., NanoCode012, ChristopherSTAN, Changyu, L., Laughing, Hogan, A., Lorenzomammana, Tkianai, et al. (2020) · Zenodo · doi:10.5281/zenodo.3983579 · Cited by 2,738 · see citing works
Shared autonomous vehicle services: A comprehensive review
Narayanan, S., Chaniotakis, E., & Antoniou, C. (2020) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2019.12.008 · Cited by 691 · see citing works
Geography and the disabled: a survey with special reference to vision impaired and blind populations
Golledge, R. G. (1993) · Transactions of the Institute of British Geographers · doi:10.2307/623069 · Cited by 302 · see citing works
Navigating without vision: principles of blind spatial cognition
Giudice, N. A. (2018) · Handbook of Behavioral and Cognitive Geography · doi:10.4337/9781784717544.00024 · Cited by 111 · see citing works
Self-citation
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Accessible 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
Self-citationD. 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
Self-citation
- Authors
- Fink, P. D. S., Doore, S. A., Lin, X., Maring, M., Zhao, P., Nygaard, A., Beals, G., Corey, R. R., Perry, R. J., Freund, K., Dimitrov, V., & Giudice, N. A.
- Affiliations
- University of Maine (US)
- Colby College (US)
- Northeastern University (US)
- Toyota Research Institute (US)
- Corresponding author
- Fink, Paul D.S.
- Giudice, Nicholas A.
- ORCID
- Venue
- International Journal of Human-Computer Studies
- Publisher
- Elsevier BV
- Published
- 2023-11
- Volume
- 179
- Pages
- 103125
- ISSN
- 1071-5819 (ISSN-L)
- OpenAlex
- W4385486968
- Cited by
- 34
- References
- 4
- Citations by year
- 2026: 22 · 2025: 8 · 2024: 4
- FWCI
- 16.95
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- International Journal of Human-Computer Studies (publishedVersion)
- Topics
- Health Sciences › Health Professions › Occupational Therapy › Assistive Technology in Communication and Mobility
- Social Sciences › Human Factors and Ergonomics › Digital Accessibility for Disabilities
- Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
- Keywords
- inclusive design, assistive technology, sensor fusion, computer vision, user-driven design, participatory design
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.
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