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• The Future of Urban Accessibility: The Role of AI

  Jon E. Froehlich, Chu Li, Maryam Hosseini, Fabio Miranda, Andres Sevtsuk, Yochai Eisenberg · 2024 · Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '24)

  This workshop paper examines the emerging role of artificial intelligence in designing equitable and accessible cities, transportation systems, and navigation tools for people with disabilities. The authors — spanning HCI, urban planning, public health, and accessibility…

  urban accessibility · artificial intelligence · smart cities · autonomous vehicles · pedestrian infrastructure

• Case Study: In-the-Field Accessibility Information Collection Using Gamification

  Akihiro Miyata, Kazuki Okugawa, Yusaku Murayama, Akihiro Furuta, Keihiro Ochiai, Yuko Murayama · 2023 · Proceedings of the 20th International Web for All Conference (W4A '23)

  This study introduces and evaluates a crowdsourcing platform designed to collect real-world accessibility information for constructing accessibility maps that support people with mobility disabilities. Accessibility maps are critical for safe navigation by wheelchair users and…

  crowdsourcing · gamification · accessible maps · physical accessibility · pedestrian infrastructure

• The Future of Urban Accessibility for People with Disabilities: Data Collection, Analytics, Policy, and Tools

  Jon E. Froehlich, Yochai Eisenberg, Maryam Hosseini, Fabio Miranda, Marc Adams, Anat Caspi, Holger Dieterich, Heather Feldner, Aldo Gonzalez, Claudina de Gyves, Joy Hammel, Reuben Kirkham, Melanie Kneisel, Delphine Labbé, Steve J. Mooney, Victor Pineda, Cláudia Fonseca Pinhão, Ana Rodríguez, Manaswi Saha, Michael Saugstad, Judy Shanley, Ather Sharif, Qing Shen, Cláudio Silva, Maarten Sukel, Eric K. Tokuda, Sebastian Felix Zappe, Anna Zivarts · 2022 · Proceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 22)

  This workshop paper frames urban accessibility as a "wicked problem" spanning transportation, urban planning, disability studies, public health, and human geography, and assembles a remarkably diverse team of 28 co-organizers from six countries across academia, government, NGOs,…

  urban accessibility · built environment · pedestrian infrastructure · sidewalk accessibility · data collection

• Deep Learning for Automatically Detecting Sidewalk Accessibility Problems Using Streetscape Imagery

  Galen Weld, Esther Jang, Anthony Li, Aileen Zeng, Kurtis Heimerl, Jon E. Froehlich · 2019 · Proceedings of the 21st International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2019)

  This paper presents the first application of deep learning to automatically assess sidewalk accessibility from Google Street View (GSV) panoramas, addressing four types of accessibility problems: curb ramps, missing curb ramps, sidewalk obstructions, and surface problems.…

  computer vision · deep learning · sidewalk accessibility · curb ramps · crowdsourcing

• Wearable Interfaces for Orientation and Wayfinding

  David A. Ross, Bruce B. Blasch · 2000 · Proceedings of the Fourth International ACM Conference on Assistive Technologies (Assets '00)

  This paper from the Atlanta VA Rehabilitation R&D Center presents the development and evaluation of three wearable orientation interfaces designed to help people with severe visual impairment maintain spatial orientation while navigating, with street crossing as the critical…

  wayfinding · orientation and mobility · wearable technology · blindness and low vision · haptic feedback

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