Abstract
In this forum we celebrate research that helps to successfully bring the benefits of computing technologies to children, older adults, people with disabilities, and other populations that are often ignored in the design of mass-marketed products. --- Juan Pablo Hourcade, Editor
- Ding, C., Wald, M., and Wills, G. A survey of open accessibility data. Proc. of W4A '14. Google ScholarDigital Library
- Hara, K. and Froehlich, J.E. Characterizing and visualizing physical world accessibility at scale using crowdsourcing, computer vision, and machine learning. Proc. of ACM SIGACCESS Accessibility and Computing '15, 13--21. Google ScholarDigital Library
- Ahmetovic, D., Manduchi, R., Coughlan, J.M., and Mascetti, S. Zebra crossing spotter: Automatic population of spatial databases for increased safety of blind travelers. Proc. of ASSETS '15, 251--258. Google ScholarDigital Library
- Li, A., Saha, M., Gupta, A., and Froehlich, J.E. Interactively modeling And visualizing neighborhood accessibility at scale: An initial study of Washington D.C. Poster Proc. of ASSETS '18, 444--446. Google ScholarDigital Library
- Bolten, N., Mukherjee, S., Sipeeva, V., Tanweer, A., and Caspi, A. A pedestrian-centered data approach for equitable access to urban infrastructure environments. IBM Journal of Research and Development 61, 6 (Nov. 2017), 10:1--10:12. Google ScholarDigital Library
- Albouys-Perrois, J., Laviole, J., Briant, C., and Brock, A. Towards a multisensory augmented reality map for blind and low vision people: A participatory design approach. Proc. of CHI '18. Google ScholarDigital Library
- Hara, K., Chan, C., and Froehlich, J.E. The design of assistive location-based technologies for people with ambulatory disabilities: A formative study. Proc. of CHI '16, 1757--1768. Google ScholarDigital Library
Index Terms
- Grand challenges in accessible maps
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