Accessible Maps for the Future of Inclusive Ridesharing
Open accessAbstract
For people who are blind and low vision (BLV), ridesharing provides an important means of independence and mobility. However, a common challenge relates to finding the vehicle when it arrives to an unanticipated location. Although coordinating with the driver for assistance is serviceable in the near term, new solutions are necessary when a human is no longer available in future automated vehicles. Therefore, this paper presents and evaluates a multisensory smartphone-based map system designed to enable nonvisual tracking of summoned vehicles. Results from a user study with (N=12) BLV users suggest that vibro-audio maps (VAMs) promote superior spatial confidence and reasoning compared to current nonvisual audio interfaces in ridesharing apps, while also being desirable and easy to use. A subsequent expert evaluation based on improvements suggested during the user study indicate the practical utility of VAMs to address both current and future wayfinding challenges for BLV travelers.
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AV accessibility projects have leveraged techniques including haptic access, augmented visual information, spatialized audio, and vibro-audio maps to enhance situation awareness and improve task completion during AV trips.
“AV accessibility projects have leveraged myriad techniques including haptic access [7, 17, 18], augmented visual information [11], spatialized audio [5, 10], and the latest class of multisensory maps that combine vibration and audio, known as vibro-audio maps (VAMs)[20] to enhance situation awareness and improve task completion during AV trips [13].”
From Get In Touch with Your Seat: Accessible Seat Localization for Blind and Low Vision Travelers in Autonomous Shuttles (2026) · cites this paper as [13]
The Discussion ('Spatial Reasoning for Situational Awareness'; page not supplied) links improved spatial understanding while waiting for a ride to the goal of situational awareness. It explicitly says the study examined only pre-journey tasks, not travel in the vehicle. The User Study Results (page not supplied) found no significant VAM advantage on the measured vehicle-tracking task, so improved task completion during AV trips is not supported. (LLM, conf=0.88)
Experimental — accuracy not yet measuredRecent results emphasize the utility of multisensory information in AVs for BLV users.
“given recent results emphasizing the utility of multisensory information in AVs for BLV users [13, 17, 18].”
From Get In Touch with Your Seat: Accessible Seat Localization for Blind and Low Vision Travelers in Autonomous Shuttles (2026) · cites this paper as [13]
The Discussion reports that vibro-audio maps improved BLV participants’ confidence in locating a vehicle and supported spatial reasoning compared with audio-only interfaces. But its Spatial Reasoning for Situational Awareness section says the study examined waiting for a ride in a controlled setting; utility during travel in automated vehicles remains a subject for future work. (LLM, conf=0.85)
Experimental — accuracy not yet measuredThe time to learn new haptic interfaces is a common finding across the literature.
“The time to learn new haptic interfaces is a common finding across the literature [7, 13]”
From Get In Touch with Your Seat: Accessible Seat Localization for Blind and Low Vision Travelers in Autonomous Shuttles (2026) · cites this paper as [13]
Recent work has shown that VAMs have improved spatial confidence and reasoning for BLV users in tracking and navigating to rideshared vehicles over unimodal, audio-only interfaces.
“Indeed, recent work has shown that VAMs have improved spatial confidence and reasoning for BLV users in tracking and navigating to rideshared vehicles over unimodal, audio-only, interfaces [13].”
From Get In Touch with Your Seat: Accessible Seat Localization for Blind and Low Vision Travelers in Autonomous Shuttles (2026) · cites this paper as [13]
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Flagged first, then by citations
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Research works printed but not linked: 1
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Cited by
Sorted by citations
Meinhardt, L.-M., Weilke, L. M., Elhaidary, M., von Abel, J., Fink, P. D. S., Rietzler, M., Colley, M., & Rukzio, E. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713454 · Cited by 7 · see citing works
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Self-citationBoyko, D., & Schaefer, K. J. (2026) · European Transport Research Review · doi:10.1186/s12544-026-00772-x · Cited by 1 · see citing works
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Navigating the Last Decade: A Systematic Literature Review on Accessible Georeferencing Mobile Apps
Teran, L., Melo, G. A., Silva, S. S. D. C., Käppler, K. C. D. O., & Mota, M. (2025) · IEEE Access · doi:10.1109/access.2025.3630560
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Influential
- Authors
- Fink, P. D. S., Milne, H., Caccese, A., Alsamsam, M., Loranger, J., Colley, M., & Giudice, N. A.
- Affiliations
- University of Maine (US)
- Universität Ulm (DE)
- ORCID
- Venue
- Proceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
- Publisher
- ACM
- Published
- 2024-09-22
- Volume
- 2024
- Pages
- 106-115
- PMC
- PMC12093406
- OpenAlex
- W4402433265
- Cited by
- 8
- References
- 44
- Citations by year
- 2026: 5 · 2025: 3
- FWCI
- 6.28
- Type
- conference paper
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI) (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (1R01EY035433-01)
- National Science Foundation (HCC-IIS2312402)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
- Social Sciences › Human Factors and Ergonomics › Digital Accessibility for Disabilities
- Health Sciences › Health Professions › Occupational Therapy › Assistive Technology in Communication and Mobility
- Keywords
- accessible maps, ride-sharing, blind and visually impaired users, multisensory interfaces, mobile application, wayfinding, autonomous vehicles, inclusive mobility
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