Emily Kornman

ORCID: 0000-0002-9729-9621
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About
Contact & Profiles
Research Areas
  • Gaze Tracking and Assistive Technology
  • Assistive Technology in Communication and Mobility
  • Digital Accessibility for Disabilities
  • Robotics and Automated Systems
  • Cerebral Palsy and Movement Disorders
  • Context-Aware Activity Recognition Systems
  • Neurobiology of Language and Bilingualism

Gleason (United States)
2023-2024

Accelerating communication for users with severe motor and speech impairments, in particular eye-gaze-based augmentative alternative (AAC) device users, is a longstanding area of research. However, observation such users' over extended durations has been limited. This case study presents the real-world experience developing field-testing tool observing curating gaze typing-based an eye-gaze AAC user amyotrophic lateral sclerosis (ALS). With intent to observe develop technology accelerate...

10.1145/3544549.3573870 article EN 2023-04-19

Accelerating text input in augmentative and alternative communication (AAC) is a long-standing area of research with bearings on the quality life individuals profound motor impairments. Recent advances large language models (LLMs) pose opportunities for re-thinking strategies enhanced entry AAC. In this paper, we present SpeakFaster, consisting an LLM-powered user interface highly-abbreviated form, saving 57% more actions than traditional predictive keyboards offline simulation. A pilot...

10.1038/s41467-024-53873-3 article EN cc-by Nature Communications 2024-11-01

Finding ways to accelerate text input for individuals with profound motor impairments has been a long-standing area of research. Closing the speed gap augmentative and alternative communication (AAC) devices such as eye-tracking keyboards is important improving quality life individuals. Recent advances in neural networks natural language pose new opportunities re-thinking strategies user interfaces enhanced text-entry AAC users. In this paper, we present SpeakFaster, consisting large models...

10.48550/arxiv.2312.01532 preprint EN cc-by arXiv (Cornell University) 2023-01-01
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