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• Towards More Robust Speech Interactions for Deaf and Hard of Hearing Users

  Raymond Fok, Harmanpreet Kaur, Skanda Palani, Martez E. Mott, Walter S. Lasecki · 2018 · Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2018)

  This University of Michigan study addresses a largely overlooked accessibility gap: while much research has focused on providing deaf users access to spoken output (via captioning or sign language), almost no work has addressed improving deaf users' ability to provide speech…

  deaf and hard of hearing · automatic speech recognition · deaf speech · crowdsourcing · speech intelligibility

• Crowd-AI Camera Sensing in the Real World

  Anhong Guo, Anuraag Jain, Shomiron Ghose, Gierad Laput, Chris Harrison, Jeffrey P. Bigham · 2018 · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

  This paper presents Zensors++, a hybrid crowd-AI camera sensing system that allows users to point a networked camera at a scene, define a natural language question about it (such as "Is the coffee machine in use?" or "How many people are in the room?"), and receive continuous,…

  crowdsourcing · computer vision · human computation · machine learning · smart environments

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