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• How Do People with Limited Movement Personalize Upper-Body Gestures? Considerations for the Design of Personalized and Accessible Gesture Interfaces

  Momona Yamagami, Alexandra A Portnova-Fahreeva, Junhan Kong, Jacob O. Wobbrock, Jennifer Mankoff · 2023 · Proceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '23)

  This study investigates how people with upper-body motor impairments design personalized gestures for common device functions like move, select, zoom-in, open, and delete. The researchers recruited 25 participants with conditions including spinal cord injury (13), muscular…

  motor impairments · gesture input · personalization · wearable sensors · electromyography

• Comparing Locomotion Techniques in Virtual Reality for People with Upper-Body Motor Impairments

  Rachel L. Franz, Jinghan Yu, Jacob O. Wobbrock · 2023 · Proceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '23)

  This paper presents the first empirical study comparing the accessibility of virtual reality locomotion techniques — methods for navigating virtual environments — for people with upper-body motor impairments. Despite over 100 distinct locomotion techniques existing in VR and the…

  virtual reality · locomotion · motor impairments · VR accessibility · interaction techniques

• Understanding Personalized Accessibility through Teachable AI: Designing and Evaluating Find My Things for People who are Blind or Low Vision

  Cecily Morrison, Martin Grayson, Rita Faia Marques, Daniela Massiceti, Camilla Longden, Linda Wen, Edward Cutrell · 2023 · Proceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '23)

  This paper from Microsoft Research presents Find My Things, one of the first fully realized end-to-end teachable AI applications for accessibility. The app allows people who are blind or low vision to teach their phone to recognize personal objects — keys, earbuds, lip balm,…

  teachable AI · object recognition · blind and low vision · personalization · few-shot learning

• AdaptiveSound: An Interactive Feedback-Loop System to Improve Sound Recognition for Deaf and Hard of Hearing Users

  Hang Do, Quan Dang, Jeremy Zhengqi Huang, Dhruv Jain · 2023 · ASSETS '23: Proceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility

  This paper introduces AdaptiveSound, the first feedback-loop sound recognition system designed for deaf and hard of hearing (DHH) users. Sound recognition tools help DHH people become aware of environmental sounds ranging from safety-critical alerts like fire alarms and sirens…

  deaf and hard of hearing · sound recognition · human-in-the-loop · machine learning · incremental learning

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