Quick Info
Project Date
June 15, 2018 - Aug. 1, 2019
Sponsors:
NSF
Keywords:
accessibility,
hard of hearing,
longitudinal study,
assistive technology,
deaf and hard of hearing
News

Oct 28, 2019 | Jon
Both of our ASSETS'19 papers were nominated for 'Best Paper' at ASSETS'19: Weld, G., Jang, E., Li, A., Zeng, A., Heimerl, K., Froehlich, J. E. (2019). Deep Learning for Automatically Detecting Sidewalk Accessibility Problems Using Streetscape Imagery. Proceedings of ASSETS 2019. Jain, D., Desjardins, A., Findlater, L., Froehlich, J. E. (2019). Autoethnography of a Hard of Hearing Traveler. Proceedings of ASSETS 2019. Congrats to all authors!

Jun 28, 2019 | Jon
We were honored that both of our papers submitted to ASSETS'19 were accepted for publication: Autoethnography of a Hard of Hearing Traveler led by UW CSE PhD student, Dhruv Jain, and co-authored by Jain, Audrey Desjardins (School of Art + Art History + Design), Leah Findlater (HCDE), and Jon Froehlich Deep Learning for Automatically Detecting Sidewalk Accessibility Problems Using Streetscape Imagery led by UW CSE PhD students, Galen Weld and Esther Jang, and co-authored by Weld, Jang, Anthony Li (UMD ugrad), Aileen Zeng (UW CSE ugrad), Kurtis Heimerl (UW CSE prof), and Jon Froehlich. Congrats also to Manaswi Saha for having her first-authored paper from her MSR internship accepted as well.
About
Deaf Travel Autoethnography
Our first author, Dhruv Jain, interaction with his scuba diving instructor during his one year backpacking tour.
Publications
Autoethnography of a Hard of Hearing Traveler
Proceedings of ASSETS 2019 | Acceptance Rate: 25.9% (41 / 158) | Best Paper Nominee
Talks
Project Members

Audrey Desjardins
Jun 2018 - Jul 2019
Assistant Professor
Art + Art History + Design
University of Washington

Dhruv Jain
Jun 2018 - Aug 2019
PhD Student
Computer Science
University of Washington
AR Captioning | Deaf Travel Autoethnography | Smarthome Sound Awareness

Leah Findlater
Dec 2018 - Jul 2019
Associate Professor
HCDE
University of Washington
HandSight | Touchscreen Accessibility | AR Captioning
