Designing for Dignity while Driving: Interaction Needs of Blind and Low-Vision Passengers in Fully Automated Vehicles
October 29, 2025 Β· Declared Dead Β· π arXiv.org
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Authors
Zhengtao Ma, Rafael Gomez, Togtokhtur Batbold, Zishuo Zhu, Yueteng Yu, Ronald Schroeter
arXiv ID
2510.26015
Category
cs.HC: Human-Computer Interaction
Citations
0
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Fully automated vehicles (FAVs) hold promise for enhancing the mobility of blind and low-vision (BLV) individuals. To understand the situated interaction needs of BLV passengers, we conducted six on-road, and in-lab focus groups with 16 participants, immersing them in real-world driving conditions. Our thematic analysis reveals that BLV participants express a high initial 'faith' in FAVs, but require layered, value-sensitive information during the ride to cultivate trust. The participants' modality preference for voice suggests re-evaluating the role of haptics for BLV users in FAVs. Our findings show the importance of a respectful interaction design in FAVs that both address BLV users' mobility challenges and uphold their dignity. While others have advocated for a dignity lens, our contribution lies in grounding this framework in empirical findings and unpacking what it means to design for dignity in the context of FAVs.
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