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dc.contributor.authorLi, Chu
dc.contributor.authorPang, Rock Yuren
dc.contributor.authorLabb?, Delphine
dc.contributor.authorEisenberg, Yochai
dc.contributor.authorHosseini, Maryam
dc.contributor.authorFroehlich, Jon
dc.date.accessioned2025-09-22T20:57:37Z
dc.date.available2025-09-22T20:57:37Z
dc.date.issued2025-04-25
dc.identifier.isbn979-8-4007-1394-1
dc.identifier.urihttps://hdl.handle.net/1721.1/162781
dc.descriptionCHI ’25, Yokohama, Japanen_US
dc.description.abstractToday’s mapping tools fail to address the varied experiences of different mobility device users. This paper presents a large-scale online survey exploring how five mobility groups—users of canes, walkers, mobility scooters, manual wheelchairs, and motorized wheelchairs—perceive sidewalk barriers and differences therein. Using 52 sidewalk barrier images, respondents evaluated their confidence in navigating each scenario. Our findings (N=190) reveal variations in barrier perceptions across groups, while also identifying shared concerns. To further demonstrate the value of this data, we showcase its use in two custom prototypes: a visual analytics tool and a personalized routing tool. Our survey findings and open dataset advance work in accessibility-focused maps, routing algorithms, and urban planning.en_US
dc.publisherACM|CHI Conference on Human Factors in Computing Systemsen_US
dc.relation.isversionofhttps://doi.org/10.1145/3706598.3713421en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceAssociation for Computing Machineryen_US
dc.titleAccessibility for Whom? Perceptions of Mobility Barriers Across Disability Groups and Implications for Designing Personalized Mapsen_US
dc.typeArticleen_US
dc.identifier.citationChu Li, Rock Yuren Pang, Delphine Labbé, Yochai Eisenberg, Maryam Hosseini, and Jon E. Froehlich. 2025. Accessibility for Whom? Perceptions of Mobility Barriers Across Disability Groups and Implications for Designing Personalized Maps. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI '25). Association for Computing Machinery, New York, NY, USA, Article 44, 1–19.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Urban Studies and Planningen_US
dc.identifier.mitlicensePUBLISHER_POLICY
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2025-08-01T08:08:52Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2025-08-01T08:08:52Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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