Literature Reviews
Reviewed research papers, articles, and publications relevant to digital accessibility.
11 results found tagged ALS.
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AI That Moves With You: A Review of Interactive Technologies Powered by Large Foundation Models for Mobility Impairment
This paper is a scoping review (PRISMA-ScR) of how large foundation models - LLMs, large vision models, and vision-language models - are being woven into interactive assistive technologies for people with mobility impairments, covering publications f…
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A Personalized and Adaptable User Interface for a Speech and Cursor Brain-Computer Interface
This paper reports on the user interface design for an intracortical brain-computer interface (BCI) deployed for everyday at-home use by people with severe paralysis. The work centers on a 22-month longitudinal co-design study with one BrainGate2 tri…
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Brain-Computer Interfaces (BCIs) for Communication and Control
This keynote paper from Jonathan Wolpaw at the Wadsworth Center (New York State Department of Health) provides an overview of brain-computer interface (BCI) research aimed at developing augmentative communication and control technology for people wit…
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A Galvanic Skin Response Interface for People with Severe Motor Disabilities
This paper explores the use of Galvanic Skin Response (GSR) — changes in the electrical conductivity of the skin caused by sweat gland activity linked to the sympathetic nervous system — as a non-muscular input channel for people with locked-in syndr…
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A Tool for Creating Eye-Aware Applications that Adapt to Changes in User Behavior
This paper from Stanford University's Archimedes Project presents the Black Squirrel Eye Interpretation Engine, a development tool for creating eye-aware software applications that adapt in real-time to changes in a user's natural eye-movement behavi…
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Improved Inference and Autotyping in EEG-based BCI Typing Systems
This paper presents improvements to the RSVP Keyboard, a brain-computer interface (BCI) typing system designed for people with severe motor disabilities, particularly those with locked-in syndrome (LIS) resulting from ALS or brain stem stroke who can…
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Conception and Experimentation of a Communication Device with Adaptive Scanning
This paper presents an adaptive algorithm for optimizing scanning delay (Tscan) in switch-operated AAC devices, addressing one of the fundamental challenges in scanning-based communication: finding the right balance between speed and error rate. For …
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Assessing Fit of Nontraditional Assistive Technologies
This paper addresses a critical gap in assistive technology: how to systematically match users who have severe motor disabilities with nontraditional assistive technologies (NTATs) that use physiological signals rather than physical movement for comp…
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Filteryedping: Design Challenges and User Performance of Dwell-Free Eye Typing
This paper introduces Filteryedping, a dwell-free eye typing technique designed to help people with severe motor disabilities communicate through eye gaze. Traditional dwell-based eye typing requires users to fixate on a key for a specific duration (…
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Assessing Virtual Assistant Capabilities with Italian Dysarthric Speech
This paper evaluates how well three major smartphone virtual assistants — Apple's Siri, Google Assistant, and Microsoft's Cortana — can understand and respond to Italian dysarthric speech. Dysarthria is a motor speech disorder characterized by slurre…