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Makeability Lab

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EARLL

EARLL (Embodied AR Language Learning) is an embodied language learning application for AR glasses that continuously segments and localizes objects in a user’s vicinity, checks for grabbing gestures, and prompts foreign vocabulary when appropriate

DIAM

We introduce Drone-based Indoor Accessibility Mapping (DIAM), a drone-based indoor scanning system that efficiently produces 3D reconstructions of indoor spaces with key accessibility facilities recognized and located in the model.

MakerWear

MakerWear engages children in personally meaningful and creative computational design experiences

RASSAR

Detecting indoor accessibility barriers using real-time LiDAR and computer vision

GazePointAR

A multi-modal voice assistant that uses gesture, gaze, and conversation history to support context-aware queries

SoundWatch

Real-time sound recognition and feedback on smartwatches

Dec. 10, 2025. Project Sidewalk Awarded Mapillary Camera Grant

Dec. 8, 2025. Distinguished Lecture at UMN CRAY Colloquium

Nov. 13, 2025. Goodbye to Yotam

Nov. 12, 2025. Solar Car Tour

Nov. 10, 2025. Arnavi Presents at CMU Accessibility Lunch

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Makeability Lab - Home

About Us

The Makeability Lab is an advanced research lab in Human-AI directed by Professor Jon E. Froehlich in the Allen School of Computer Science at the University of Washington. We specialize in Human-Computer Interaction and applied machine learning for high-impact problems in accessibility, computational urban science, and augmented reality. To learn more, see our recent projects below and read our lab handbook.

Interested in working with us? If you are a current UW undergrad, UW MS student, or local Seattle high school student, please apply here. If you are a prospective PhD student, apply to the UW CSE PhD program and mention Professor Froehlich. Before applying, please read our lab handbook.