Strategically Using Applied Machine Learning for Accessibility Documentation in the Built Environment-Reference-Cited by-同舟云学术

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Strategically Using Applied Machine Learning for Accessibility Documentation in the Built Environment

Published:2021 Issue: Volume: Page:426-448
ISSN:0302-9743
Container-title:Human-Computer Interaction – INTERACT 2021
language:
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Author:

Lange Marvin,Kirkham Reuben,Tannert Benjamin

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-85616-8_25

Reference77 articles.

1. Accessable. https://www.accessable.co.uk/. Accessed 31 Jan 2020

2. Convention on the rights of persons with disabilities (CRPD)—united nations enable. https://www.un.org/development/desa/disabilities/convention-on-the-rights-of-persons-with-disabilities.html. Accessed 27 Jan 2021

3. Fixmystreet. https://www.fixmystreet.com/. Accessed 18 Sept 2016

4. Machine learning und die transparenzanforderungen der ds-gvo, p. 44

5. Openrouteservice. https://www.openrouteservice.org

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. RASSAR: Room Accessibility and Safety Scanning in Augmented Reality;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

2. Alignment Work for Urban Accessibility: A Study of How Wheelchair Users Travel in Urban Spaces;Proceedings of the ACM on Human-Computer Interaction;2022-11-07

3. Approximating Accessibility of Regions from Incomplete Volunteered Data;CHI Conference on Human Factors in Computing Systems Extended Abstracts;2022-04-27

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