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Two ASSETS'19 Papers Nominated for Best Paper

Jon E. Froehlich

By Jon E. Froehlich

Oct 28, 2019

Image showing an opening slide at ASSETS'19 with Jeff Bigham visible on the stage

Both of our ASSETS'19 papers were nominated for 'Best Paper' at ASSETS'19:

  1. 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.
  2. 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!

More About

  • Deaf Travel Autoethnography

  • Deep Learning for Sidewalk Assessment

  • Project Sidewalk

  • Dhruv Jain

  • Galen Weld

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Makeability Lab

We design, build, and evaluate new interactive tools and techniques to address pressing societal challenges. Makeability refers both to how our technological innovations make new abilities possible for humans as well as our educational mission to help students gain new abilities as they learn and grow through research, invention, and human-centered design.

Recent News

March 12, 2026

Xia Su Passes Generals

March 09, 2026

GeoVisA11y Earns Best Paper at CHI'26

March 05, 2026

Arnavi at Stanford for AI for Accessibility Collective

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