Light My Way: Developing and Exploring a Multimodal Interface to Assist People With Visual Impairments to Exit Highly Automated Vehicles Article Swipe
Luca-Maxim Meinhardt
,
Lina Madlin Weilke
,
Maryam Elhaidary
,
Julia von Abel
,
Paul D. S. Fink
,
Michael Rietzler
,
Mark Colley
,
Enrico Rukzio
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1145/3706598.3713454
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1145/3706598.3713454
The introduction of Highly Automated Vehicles (HAVs) has the potential to increase the independence of blind and visually impaired people (BVIPs). However, ensuring safety and situation awareness when exiting these vehicles in unfamiliar environments remains challenging. To address this, we conducted an interactive workshop with N=5 BVIPs to identify their information needs when exiting an HAV and evaluated three prior-developed low-fidelity prototypes. The insights from this workshop guided the development of PathFinder, a multimodal interface combining visual, auditory, and tactile modalities tailored to BVIP's unique needs. In a three-factorial within-between-subject study with N=16 BVIPs, we evaluated PathFinder against an auditory-only baseline in urban and rural scenarios. PathFinder significantly reduced mental demand and maintained high perceived safety in both scenarios, while the auditory baseline led to lower perceived safety in the urban scenario compared to the rural one. Qualitative feedback further supported PathFinder's effectiveness in providing spatial orientation during exiting.
Related Topics
Concepts
Pathfinder
Interface (matter)
Computer science
Human–computer interaction
Baseline (sea)
Modalities
Fidelity
Orientation (vector space)
Applied psychology
Psychology
World Wide Web
Oceanography
Sociology
Telecommunications
Geometry
Social science
Mathematics
Parallel computing
Bubble
Maximum bubble pressure method
Geology
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1145/3706598.3713454
- OA Status
- gold
- Cited By
- 1
- References
- 68
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4406733340
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4406733340Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1145/3706598.3713454Digital Object Identifier
- Title
-
Light My Way: Developing and Exploring a Multimodal Interface to Assist People With Visual Impairments to Exit Highly Automated VehiclesWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-04-24Full publication date if available
- Authors
-
Luca-Maxim Meinhardt, Lina Madlin Weilke, Maryam Elhaidary, Julia von Abel, Paul D. S. Fink, Michael Rietzler, Mark Colley, Enrico RukzioList of authors in order
- Landing page
-
https://doi.org/10.1145/3706598.3713454Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1145/3706598.3713454Direct OA link when available
- Concepts
-
Pathfinder, Interface (matter), Computer science, Human–computer interaction, Baseline (sea), Modalities, Fidelity, Orientation (vector space), Applied psychology, Psychology, World Wide Web, Oceanography, Sociology, Telecommunications, Geometry, Social science, Mathematics, Parallel computing, Bubble, Maximum bubble pressure method, GeologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1Per-year citation counts (last 5 years)
- References (count)
-
68Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| primary_location.raw_source_name | Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems |
| primary_location.landing_page_url | https://doi.org/10.1145/3706598.3713454 |
| publication_date | 2025-04-24 |
| publication_year | 2025 |
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