Engaging with Children’s Artwork in Mixed Visual-Ability Families Author(s): • Arnavi Chheda-Kothary, University of Washington • Jacob O. Wobbrock, University of Washington • Jon E. Froehlich, University of Washington Abstract We present two studies exploring how blind or low-vision (BLV) family members engage with their sighted children’s artwork, strategies to support understanding and interpretation, and the potential role of technology, such as AI, therein. Our first study involved 14 BLV individuals, and …
Monthly Archives: October 2025
SIGACCESS Best Student Paper Award 2024
WheelPoser: Sparse-IMU Based Body Pose Estimation for Wheelchair Users Author(s): • Yunzhi Li, Carnegie Mellon University • Vimal Mollyn, Carnegie Mellon University • Kuang Yuan, Carnegie Mellon University • Patrick Carrington, Carnegie Mellon University Abstract Despite researchers having extensively studied various ways to track body pose on-the-go, most prior work does not take into account wheelchair users, leading to poor tracking performance. Wheelchair users could greatly benefit from this pose information …
June 2024 Newsletter
Download: Get the full June 2024 Issue – https://dl.acm.org/toc/10.1145/3703599