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• Not a "Typical Expat": An Autoethnographic Account on Accessible Relocation

  Zeynep Yildiz, Caroline Karmann, Kathrin Gerling · 2024 · ASSETS 2024: 26th International ACM SIGACCESS Conference on Computers and Accessibility

  This experience report presents an autoethnographic account of the first author Zeynep Yildiz’s relocation from Turkey to Germany as a postdoctoral researcher with a mobility disability caused by a rare myopathy. Using reflexive thematic analysis of a handwritten relocation…

  autoethnography · relocation · mobility disability · accessible housing · language barriers

• UnlockedMaps: A Web-Based Map for Visualizing the Real-Time Accessibility of Urban Rail Transit Stations

  Ather Sharif, Aneesha Ramesh, Qianqian Yu, Trung-Anh H. Nguyen, Xuhai Xu · 2023 · Proceedings of the 20th International Web for All Conference (W4A)

  This paper presents UnlockedMaps, an open-data web-based map that visualizes the real-time elevator status of urban rail transit stations in six North American cities: Bay Area, Chicago, New York, Philadelphia, Seattle, and Toronto. The work addresses a critical gap in existing…

  transit accessibility · urban accessibility · open data · web-based maps · elevator outages

• Embodied Exploration: Facilitating Remote Accessibility Assessment for Wheelchair Users with Virtual Reality

  Siyou Pei, Alexander Chen, Chen Chen, Franklin Mingzhe Li, Megan Fozzard, Hao-Yun Chi, Nadir Weibel, Patrick Carrington, Yang Zhang · 2023 · Proceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS)

  This paper presents Embodied Exploration, a Virtual Reality system that allows wheelchair users to remotely assess the accessibility of unfamiliar physical environments by exploring high-fidelity digital replicas while embodied by personalized avatars. The system addresses a…

  wheelchair accessibility · virtual reality · embodied interaction · accessibility assessment · digital twin

• 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

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