Towards More Universal Wayfinding Technologies: Navigation Preferences Across Disabilities

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dc.contributor.authorGupta, Maya
dc.contributor.authorAbdolrahmani, Ali
dc.contributor.authorEdwards, Emory
dc.contributor.authorCortez, Mayra
dc.contributor.authorTumang, Andrew
dc.contributor.authorMajali, Yasmin
dc.contributor.authorLazaga, Marc
dc.contributor.authorTarra, Samhitha
dc.contributor.authorPatil, Prasad
dc.contributor.authorKuber, Ravi
dc.contributor.authorBranham, Stacy M.
dc.date.accessioned2020-06-10T17:15:31Z
dc.date.available2020-06-10T17:15:31Z
dc.descriptionCHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, April 2020, Pages 1–13
dc.description.abstractAccessibility researchers have been studying wayfinding technologies for people with disabilities for decades, typically focusing on solutions within disability populations - for example, technologies to support blind navigation. Yet, we know little about wayfinding needs across disabilities. In this paper, we describe a qualitative interview study examining the urban navigational experiences of 27 people who identified as older adults and/or who had cognitive, visual, hearing, and/or mobility disabilities. We found that many navigation route preferences were shared across disabilities (e.g., desire to avoid carpeted areas), while others diverged or were in tension (e.g., the need to avoid noisy areas while staying near main thoroughfares). To support design for multiple disability groups, we identify four dimensions of navigation preferences - technology, route, assistance, experience - and describe how these might usefully inform design of more universally usable wayfinding technologies.en_US
dc.description.sponsorshipThe authors would like to thank Antony Rishin Mukkath Roy and Shivani Sinnarkar (UMBC) for their input to this work. This project is supported by Toyota.en_US
dc.description.urihttps://dl.acm.org/doi/abs/10.1145/3313831.3376581en_US
dc.format.extent13 pagesen_US
dc.genreconference papers and proceedings preprintsen_US
dc.identifierdoi:10.13016/m2srxh-xewb
dc.identifier.citationMaya Gupta, Ali Abdolrahmani, Emory Edwards, Mayra Cortez, Andrew Tumang, Yasmin Majali, Marc Lazaga, Samhitha Tarra, Prasad Patil, Ravi Kuber, and Stacy M. Branham. 2020. Towards More Universal Wayfinding Technologies: Navigation Preferences Across Disabilities. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI ’20). Association for Computing Machinery, New York, NY, USA, 1–13. DOI:https://doi.org/10.1145/3313831.3376581en_US
dc.identifier.urihttps://doi.org/10.1145/3313831.3376581
dc.identifier.urihttp://hdl.handle.net/11603/18859
dc.language.isoen_USen_US
dc.publisherACMen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Information Systems Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Student Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.titleTowards More Universal Wayfinding Technologies: Navigation Preferences Across Disabilitiesen_US
dc.typeTexten_US

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