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• A Personalized and Adaptable User Interface for a Speech and Cursor Brain-Computer Interface

  Hamza Peracha, Carrina Iacobacci, Tyler Singer-Clark, Leigh R Hochberg, Sergey D. Stavisky, David M. Brandman, Nicholas S Card · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  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 trial participant, T15 - a…

  brain-computer interface · AAC · ALS · amyotrophic lateral sclerosis · paralysis

• AI That Moves With You: A Review of Interactive Technologies Powered by Large Foundation Models for Mobility Impairment

  Duosi Dai, Yuchong Zhang, Yong Ma, Danica Kragic · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  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 from January 2020 to May 2025.…

  foundation model · large language model · vision-language model · literature review · scoping review

• Brain Body Jockey project: Transcending Bodily Limitations in Live Performance via Human Augmentation

  Giulia Barbareschi, Songchen Zhou, Ando Ryoichi, Midori Kawaguchi, Mark Armstrong, Mikito Ogino, Shunsuke Aoiki, Eisaku Ohta, Harunobu Taguchi, Youichi Kamiyama, Masatane Muto, Kentaro Yoshifuji, Kouta Minamizawa · 2024 · Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2024)

  This paper documents a groundbreaking collaboration between a professional VDJ (video disc jockey) with advanced Amyotrophic Lateral Sclerosis (ALS) and a team of researchers and technologists to create a human augmentation system enabling brain-controlled robotic arms for live…

  brain-machine interface · ALS · human augmentation · disability arts · robotic arms

• Assessing Virtual Assistant Capabilities with Italian Dysarthric Speech

  Fabio Ballati, Fulvio Corno, Luigi De Russis · 2018 · Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '18)

  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 slurred, slow, or…

  speech recognition · dysarthria · virtual assistant · voice interface · ALS

• Filteryedping: Design Challenges and User Performance of Dwell-Free Eye Typing

  Diogo Pedrosa, Maria da Graça Pimentel, Amy Wright, Khai N. Truong · 2015 · ACM Transactions on Accessible Computing

  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 (typically 400-1000ms) to…

  eye tracking · eye typing · dwell-free · motor disability · ALS

• Improved Inference and Autotyping in EEG-based BCI Typing Systems

  Andrew Fowler, Brian Roark, Umut Orhan, Deniz Erdogmus, Melanie Fried-Oken · 2013 · Proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility (Assets '13)

  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 cannot use any volitional…

  brain-computer interface · BCI · EEG · text entry · locked-in syndrome

• Assessing Fit of Nontraditional Assistive Technologies

  Adriane B. Randolph, Melody M. Moore Jackson · 2010 · ACM Transactions on Accessible Computing

  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 computer control. The authors…

  brain-computer interface · assistive technology · motor disabilities · ALS · locked-in syndrome

• Conception and Experimentation of a Communication Device with Adaptive Scanning

  Souhir Ghedira, Pierre Pino, Guy Bourhis · 2009 · ACM Transactions on Accessible Computing (TACCESS)

  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 users with severe motor…

  AAC · scanning · switch access · motor disabilities · adaptive systems

• Brain-Computer Interfaces (BCIs) for Communication and Control

  Jonathan R. Wolpaw · 2007 · Proceedings of the 9th International ACM SIGACCESS Conference on Computers and Accessibility (Assets '07)

  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 with severe neuromuscular…

  brain-computer interface · augmentative communication · neuromuscular disorders · ALS · EEG

• A Galvanic Skin Response Interface for People with Severe Motor Disabilities

  Melody M. Moore, Umang Dua · 2004 · Proceedings of the 6th International ACM SIGACCESS Conference on Computers and Accessibility (Assets 04)

  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 syndrome. The research was…

  locked-in syndrome · galvanic skin response · brain-computer interface · biometric control · ALS

• A Tool for Creating Eye-Aware Applications that Adapt to Changes in User Behavior

  Greg Edwards · 1998 · Proceedings of the Third International ACM Conference on Assistive Technologies (Assets '98)

  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 behaviours and intentions. The work…

  eye tracking · gaze interaction · eye-controlled interface · adaptive interface · ALS

11 results.