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

ASSETS '22: Proceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility

Article No.: 102, Pages 1 - 8

https://doi.org/10.1145/3517428.3550402

Published: 22 October 2022 Publication History

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Abstract

Inaccessible urban infrastructure creates and reinforces systemic exclusion of people with disabilities and impacts public health, physical activity, and quality of life for all. To improve the design of our cities and to enable more equitable policies and location-centric technology designs, we need new data collection techniques, data standards, and accessibility-infused analytic tools and interactive maps focused on the quality, safety, and accessibility of pathways, transit ecosystems, and buildings. In this workshop, we bring together leading experts in human mobility, urban design, disability, and accessible computing to discuss pressing urban access challenges across the world and brainstorm solutions. We invite contributions from practitioners, transit officials, disability advocates, and researchers.

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Cited By

Han BYang YCaspi AHowe B(2024)Towards Zero-Shot Annotation of the Built Environment with Vision-Language ModelsProceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems10.1145/3678717.3691296(601-604)Online publication date: 29-Oct-2024
https://dl.acm.org/doi/10.1145/3678717.3691296
Froehlich JLi CHosseini MMiranda FSevtsuk AEisenberg Y(2024)The Future of Urban Accessibility: The Role of AIProceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3663548.3688550(1-6)Online publication date: 27-Oct-2024
https://dl.acm.org/doi/10.1145/3663548.3688550
Liu XWu KKulkarni MSaugstad MRapo PFreiburger JHosseini MLi CFroehlich J(2024)Towards Fine-Grained Sidewalk Accessibility Assessment with Deep Learning: Initial Benchmarks and an Open DatasetProceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3663548.3688531(1-12)Online publication date: 27-Oct-2024
https://dl.acm.org/doi/10.1145/3663548.3688531
Show More Cited By

Index Terms

The Future of Urban Accessibility for People with Disabilities: Data Collection, Analytics, Policy, and Tools
1. Human-centered computing
2. Social and professional topics
  1. User characteristics

Index terms have been assigned to the content through auto-classification.

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cover image ACM Conferences

ASSETS '22: Proceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility

October 2022

902 pages

ISBN:9781450392587

DOI:10.1145/3517428

Editors:
Jon Froehlich
University of Washington, USA
,
Kristen Shinohara
Rochester Institute of Technology, USA
,
Stephanie Ludi
University of North Texas, USA

Copyright © 2022 Owner/Author.

This work is licensed under a Creative Commons Attribution International 4.0 License.

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SIGACCESS: ACM Special Interest Group on Accessible Computing

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Published: 22 October 2022

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ASSETS '22: The 24th International ACM SIGACCESS Conference on Computers and Accessibility

October 23 - 26, 2022

Athens, Greece

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ASSETS '22 Paper Acceptance Rate 35 of 132 submissions, 27%;

Overall Acceptance Rate 436 of 1,556 submissions, 28%

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Cited By

Han BYang YCaspi AHowe B(2024)Towards Zero-Shot Annotation of the Built Environment with Vision-Language ModelsProceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems10.1145/3678717.3691296(601-604)Online publication date: 29-Oct-2024
https://dl.acm.org/doi/10.1145/3678717.3691296
Froehlich JLi CHosseini MMiranda FSevtsuk AEisenberg Y(2024)The Future of Urban Accessibility: The Role of AIProceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3663548.3688550(1-6)Online publication date: 27-Oct-2024
https://dl.acm.org/doi/10.1145/3663548.3688550
Liu XWu KKulkarni MSaugstad MRapo PFreiburger JHosseini MLi CFroehlich J(2024)Towards Fine-Grained Sidewalk Accessibility Assessment with Deep Learning: Initial Benchmarks and an Open DatasetProceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3663548.3688531(1-12)Online publication date: 27-Oct-2024
https://dl.acm.org/doi/10.1145/3663548.3688531
Nebeling MOki MGelsomini MHayes GBillinghurst MSuzuki KGraf R(2024)Designing Inclusive Future Augmented RealitiesExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3636313(1-6)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3636313
Han HLi FBaca Vazquez AByrne DMartelaro NFox S(2024)Co-design Accessible Public Robots: Insights from People with Mobility Disability, Robotic Practitioners and Their CollaborationsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642875(1-20)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642875
Li CMa KSaugstad MFujii KDelaney MEisenberg YLabbé DShanley JSnyder DThomas FFroehlich J(2024)“I never realized sidewalks were a big deal”: A Case Study of a Community-Driven Sidewalk Accessibility Assessment using Project SidewalkProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642003(1-18)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642003
Rubies EBitriá RClotet EPalacín J(2023)Non-Contact and Non-Intrusive Add-on IoT Device for Wireless Remote Elevator ControlApplied Sciences10.3390/app1306397113:6(3971)Online publication date: 21-Mar-2023
https://doi.org/10.3390/app13063971

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Affiliations

Jon E. Froehlich

Paul G. Allen School of Computer Science & Engineering, University of Washington, United States

Yochai Eisenberg

Disability and Human Development, University of Illinois, Chicago, United States

Maryam Hosseini

Computer Science and Engineering Department, New York University, United States

Fabio Miranda

University of Illinois at Chicago, United States

Marc Adams

College of Health Solutions, Arizona State University, United States

Anat Caspi

Computer Science and Engineering, University of Washington, United States

Holger Dieterich

Sozialhelden e.V, Germany

Heather Feldner

Department of Rehabilitation Medicine, University of Washington, United States

Aldo Gonzalez

Liga Peatonal, Mexico

Claudina De Gyves

Liga Peatonal, Mexico

Joy Hammel

Disability and Human Development, University of Illinois, Chicago, United States

Reuben Kirkham

Faculty of Information Technology, Monash University, Australia

Melanie Kneisel

Microsoft Research, United States

Delphine LabbÉ

Disability and Human Development, University of Illinois, Chicago, United States

Steve J. Mooney

Department of Epidemiology, University of Washington, United States

Victor Pineda

World Enabled, United States

ClÁUdia PinhÃO

Gemeente Amsterdam, Netherlands

Ana RodrÍGuez

Liga Peatonal, Mexico

Manaswi Saha

University of Washington, United States

Michael Saugstad

Paul G. Allen School of Computer Science and Engineering, University of Washington, United States

Judy Shanley

Easterseals, United States

Ather Sharif

Paul G. Allen School of Computer Science and Engineering, University of Washington, United States

Qing Shen

Urban Design and Planning, University of Washington, United States

Claudio Silva

New York University, United States

Maarten Sukel

Gemeente Amsterdam, Netherlands

Eric K. Tokuda

Math Institute, Oxford University, United Kingdom

Sebastian Felix Zappe

Sozialhelden e.V, Germany

Anna Zivarts

Disability Rights Washington, United States

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