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

要旨

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.

著者
Luca-Maxim Meinhardt
Institute of Media Informatics, Ulm, Germany
Lina Madlin. Weilke
Ulm University, Ulm, Germany
Maryam Elhaidary
Universität Ulm, Ulm, Baden-Württemberg, Germany
Julia von Abel
Universität Ulm, Ulm, Germany
Paul D. S.. Fink
The University of Maine, Orono, Maine, United States
Michael Rietzler
Institute of Mediainformatics, Ulm, Germany
Mark Colley
Ulm University, Ulm, Germany
Enrico Rukzio
University of Ulm, Ulm, Germany
DOI

10.1145/3706598.3713454

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713454

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Vision Accessibility

Annex Hall F203
7 件の発表
2025-04-30 23:10:00
2025-05-01 00:40:00
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