Towards More Universal Wayfinding Technologies: Navigation Preferences Across Disabilities

Maya 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/10.1145/3313831.3376581

Rights

This 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.

Abstract

Accessibility 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.