|July 24, 2014||I got accepted for ASSETS 2014 Doctoral Consortium|
|July 17, 2014||Our full paper got accepted for UIST 2014|
|Jun 2, 2014||Started working at MSR as a summer intern|
Contact1151 A.V. Williams Building
University of Maryland
College Park, MD 20742
Email: kotaro AT cs.umd.edu
My research focus is in Human-Computer Interaction. My current project involves crowdsourcing in particular. We are currently developing a platform where anonymous online workers can work together to locate city sidewalk accessibility issues by assessing sidewalks in geo-tagged images. Our goal is to provide information about accessible and inaccessible sidewalks in cities to support people with mobility-impairment.
Hara, K., Sun, J., Moore, R., Jacobs, D., and Froehlich, J. (2014). "Tohme: Detecting Curb Ramps in Google Street View Using Crowdsourcing, Computer Vision, and Machine Learning"
Proceedings of UIST 2014,
Hara, K., Sun, J., Chazan, J., Jacobs, D., and Froehlich, J. (2013). “An Initial Study of Automatic Curb Ramp Detection with Crowdsourced Verification using Google Street View Images”
Poster Proceedings of HCOMP 2013, Palm Springs, California, USA.
[pdf] [pdf (poster)]
Hara, K., Azenkot, S., Campbell, M., Bennett, C., Le, V., Pannella, S., Moore, R.,
Minckler, K., Ng, R., and Froehlich, J. (2013). “Improving Public Transit Accessibility for Blind Riders by Crowdsourcing Bus Stop Landmark Locations with Google Street View”
Proceedings of ASSETS 2013, Bellevue, Washington.
Best Paper Award
Hara, K., Le, V., Sun, J., Jacobs, D., and Froehlich, J. (2013).
“Exploring Early Solutions for Automatically Identifying Inaccessible Sidewalks in the Physical World using Google Street View” Human Computer Interaction Consortium 2013,
Pacific Grove, California, USA. June 22-27, 2013.
Hara, K., Le, V., Froehlich, J. (2013). "Combining Crowdsourcing
and Google Street View to Identify Street-level Accessibility Problems"
Proceedings of CHI 2013, Paris, France, Apr 24-May 2, 2013.
Hara, K., Le, V., Froehlich, J. (2012). “A Feasibility Study of
Crowdsourcing and Google Street View to Determine Sidewalk Accessibility”
The 14th International ACM SIGACCESS Conference on Computers and Accessibility
(ASSETS 2012), Boulder, Colorado, USA, October 22-24, 2012.
[pdf] [pdf (poster)] [YouTube]
Hara. K., Hajiaghayi, M.T., Bederson. B.B., (2011). "FluTCHA: Using Fluency to
Distinguish Humans from Computers"
University of Maryland, Technical Report, HCIL, February, 2012.