Cited by 7Human-Automation Interaction and SafetyAssistive Technology in Communication and MobilityTactile and Sensory Interactions

Light My Way: Developing and Exploring a Multimodal Interface to Assist People With Visual Impairments to Exit Highly Automated Vehicles

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Meinhardt, Luca-Maxim, Weilke, Lina Madlin, Elhaidary, Maryam, von Abel, Julia, Fink, Paul D. S., Rietzler, Michael, Colley, Mark, Rukzio, Enrico·2025·Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems

Abstract

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.

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Cited by

Sorted by citations

Authors
Meinhardt, L.-M., Weilke, L. M., Elhaidary, M., von Abel, J., Fink, P. D. S., Rietzler, M., Colley, M., & Rukzio, E.
Affiliations
  • Universität Ulm (DE)
  • Ulm University, Institute of Media Informatics, Ulm, Germany
  • University of Maine (US)
Venue
Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Published
2025-04-25
Pages
1-20
OpenAlex
W4406733340
Cited by
7
References
5
Citations by year
2026: 6 · 2025: 1
FWCI
13.37
Type
conference paper
Language
en
Open access
Locations
  • CHI Conference on Human Factors in Computing Systems (publishedVersion, cc-by)
  • arXiv (Cornell University) (submittedVersion, cc-by)
  • arXiv (Cornell University) (cc-by)
Funders
Deutsche Forschungsgemeinschaft (536409562)
Topics
  • Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
  • Health Sciences › Health Professions › Occupational Therapy › Assistive Technology in Communication and Mobility
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
Keywords
highly automated vehicles, visually impaired people, blind people, multimodal interfaces, auditory guidance, tactile feedback, spatial orientation, situational awareness, mental demand, urban and rural areas, Pathfinder

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