|Dec 13th, 2015||One full paper got accepted to CHI 2016|
|Oct 20th, 2015||We wrote an article on the SIGACCESS Newsletter!|
I am a Ph.D. candidate in the Department of Computer Science, University of Maryland, College Park. I work with Prof. Jon Froehlich in the Human-Computer Interaction Lab.
My research focuses on design of systems to collect and deliver information about accessibility of streets and sidewalks that help people with mobility impairments. Using geo-tagged street-level imagery like Google Street View as data source, we locate sidewalk accessibility problems with crowdsourcing and computer vision technologies.
The Design of Assistive Location-based Technologies for People with Ambulatory Disabilities: A Formative Study
Hara, K., Chen, C and Froehlich, J.
Proceedings of CHI 2016, San Jose, USA.
Effect of Machine Translation in Interlingual Conversation: Lessons from a Formative Study
Hara, K. and Iqbal, S.T.
Proceedings of CHI 2015, Seoul, Korea.
[pdf] | [bib]
Tohme: Detecting Curb Ramps in Google Street View Using Crowdsourcing, Computer Vision, and Machine Learning
Hara, K., Sun, J., Moore, R., Jacobs, D., and Froehlich, J.
Proceedings of UIST 2014, ACM CR Best of Computing
[pdf] | [YouTube]
Improving Public Transit Accessibility for Blind Riders by Crowdsourcing Bus Stop Landmark Locations with Google Street View
Hara, K., Azenkot, S., Campbell, M., Bennett, C., Le, V., Pannella, S., Moore, R., Minckler, K., Ng, R., and
Proceedings of ASSETS 2013, Bellevue, Washington. Best Paper Award
Combining Crowdsourcing and Google Street View to Identify Street-level Accessibility Problems
Hara, K., Le, V., Froehlich, J.
Proceedings of CHI 2013, Paris, France, Apr 24-May 2, 2013.