Expanded Situational Awareness Without Vision: A Novel Haptic Interface for Use in Fully Autonomous Vehicles
Open accessAbstract
This work presents a novel ultrasonic haptic interface to improve nonvisual perception and situational awareness in applications such as fully autonomous vehicles. User study results (n=14) suggest comparable performance with the dynamic ultrasonic stimuli versus a control using static embossed stimuli. The utility of the ultrasonic interface is demonstrated with a prototype autonomous small-scale robot vehicle using intersection abstractions. These efforts support the application of ultrasonic haptics for improving nonvisual information access in autonomous transportation with strong implications for people who are blind and visually impaired, accessibility, and human-in-the-loop decision making.
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The 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 [7]
The Results section says participants’ unfamiliarity with the ultrasonic device may have affected their confidence, and that more training might improve confidence and task time. This supports a learning period for the interface studied, but the paper does not establish that it is a common finding across the literature. (LLM, conf=0.83)
Experimental — accuracy not yet measuredThe 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 [7]
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Cited by
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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
“…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 of the trip [16].”
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., Abou Allaban, A., Atekha, O. E., Perry, R. J., Sumner, E. S., Corey, R. R., Dimitrov, V., & Giudice, N. A.
- Affiliations
- University of Maine (US)
- Toyota Research Institute, Cambridge, MA, USA
- Stanford University (US)
- Toyota Research Institute (US)
- ORCID
- Venue
- Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction
- Publisher
- ACM
- Published
- 2023-03-13
- Pages
- 54-62
- OpenAlex
- W4323688033
- Cited by
- 16
- References
- 3
- Citations by year
- 2026: 5 · 2025: 6 · 2024: 4 · 2023: 1
- FWCI
- 8.24
- Type
- conference paper
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- ACM/IEEE International Conference on Human-Robot Interaction (HRI) (publishedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
- Funders
- National Science Foundation (CHS-1910603)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
- Physical Sciences › Engineering › Mechanical Engineering › Teleoperation and Haptic Systems
- Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
- Keywords
- situational awareness, autonomous vehicles, blind and visually impaired users, accessibility, human-in-the-loop decision making, tactile feedback
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