activity
20212025
most citedAn Autoethnographic Case Study of Generative Artificial Intelligence's Utility for Accessibility

73 citations · 133 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2025

Federated Learning in Offline and Online EMG Decoding: A Privacy and Performance Perspective

Kai Malcolm, César Uribe, Momona Yamagami

Neural interfaces offer a pathway to intuitive, high-bandwidth interaction, but the sensitive nature of neural data creates significant privacy hurdles for large-scale model traini…

cs.HC2024★ 2 cited

$M Recognizer for User-Defined Mid-Air Gestures

Momona Yamagami, Claire L. Mitchell, Alexandra A. Portnova-Fahreeva +4

User-defined mid-air gestures hold promise to customize device interactions to a user's preferences, cultural background, and physical abilities. This is especially true for indivi…

cs.HC2023★ 73 cited

An Autoethnographic Case Study of Generative Artificial Intelligence's Utility for Accessibility

Kate S Glazko, Momona Yamagami, Aashaka Desai +4

With the recent rapid rise in Generative Artificial Intelligence (GAI) tools, it is imperative that we understand their impact on people with disabilities, both positive and negati…

cs.HC2022★ 14 cited

"I'm Just Overwhelmed": Investigating Physical Therapy Accessibility and Technology Interventions for People with Disabilities and/or Chronic Conditions

Momona Yamagami, Kelly Mack, Jennifer Mankoff +1

Many individuals with disabilities and/or chronic conditions (da/cc) experience symptoms that may require intermittent or on-going medical care. However, healthcare is an often-ove…

cs.HC2021★ 44 cited

Two-In-One: A Design Space for Mapping Unimanual Input into Bimanual Interactions in VR for Users with Limited Movement

Momona Yamagami, Sasa Junuzovic, Mar Gonzalez-Franco +5

Virtual Reality (VR) applications often require users to perform actions with two hands when performing tasks and interacting with objects in virtual environments. Although bimanua…