Reviews

Search results

• The Design Space of Nonvisual Word Completion

  Hugo Nicolau, Andre Rodrigues, Andre Santos, Tiago Guerreiro, Kyle Montague, Joao Guerreiro · 2019 · Proceedings of the 21st International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2019)

  This paper presents the first design space for nonvisual word completion on mobile devices, addressing a gap where word completion interfaces — ubiquitous in sighted mobile typing — remain poorly designed for screen reader users. While sighted users can glance at three…

  blindness · text entry · mobile accessibility · screen readers · word prediction

• Designing a Context Aware AAC Solution

  Conor McKillop · 2018 · Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '18)

  This student research competition paper explores the design of a context-aware AAC keyboard prototype that uses mobile device sensors — particularly GPS and Wi-Fi positioning — to suggest location-relevant phrases and categories for people with speech, language, and…

  augmentative and alternative communication · context awareness · word prediction · cerebral palsy · mobile accessibility

• OnScreenDualScribe with Point-and-Click Interface: A Viable Computer Interaction Alternative based on a Virtual Modified Numerical Keypad

  Kavita Krishnaswamy, Patricia Ordóñez, Phillip Beckerle, Stephan Rinderknecht, Torsten Felzer · 2016 · Proceedings of the 18th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '16)

  This paper presents a first-person evaluation of the OnScreenDualScribe (OSDS) Point-and-Click Interface, a virtual keyboard designed for people who cannot use a standard keyboard or mouse effectively. The first author, who has Spinal Muscular Atrophy (SMA), can only interact…

  text entry · motor disability · virtual keyboard · assistive technology · word prediction

• Experiences of Someone with a Neuromuscular Disease in Operating a PC (and Ways to Successfully Overcome Challenges)

  Torsten Felzer, Stephan Rinderknecht · 2015 · ACM Transactions on Accessible Computing (TACCESS)

  This paper describes the first-person experiences of the first author, who has Friedreich's Ataxia (FA) — a progressive neuromuscular disease causing ataxia of limbs, dysarthria, and muscle weakness — in finding a viable computer input method over 25 years. Diagnosed at age 15…

  motor impairment · text entry · alternative input device · neuromuscular disease · keyboard replacement

• Measuring the Performance of a Location-Aware Text Prediction System

  Luís Filipe Garcia, Luís Caldas De Oliveira, David Martins De Matos · 2015 · ACM Transactions on Accessible Computing (TACCESS)

  This study rigorously evaluates whether adding location awareness to word and sentence prediction improves communication efficiency for AAC users. The researchers developed Eugénio, a Portuguese AAC system that combines traditional word prediction with sentence prediction and…

  augmentative and alternative communication · word prediction · sentence prediction · location-awareness · context-aware computing

• Text Entry Using a Compact Keypad with OSDS

  Torsten Felzer, Stephan Rinderknecht · 2014 · Proceedings of the 16th International ACM SIGACCESS Conference on Computers & Accessibility (ASSETS)

  This demo paper presents OSDS (OnScreenDualScribe), a Windows software tool that enables people with neuromuscular diseases to replace a standard full-size keyboard with a compact 19-key numeric keypad called the DualPad. For people with conditions that cause motor impairment,…

  text entry · alternative input · keyboard replacement · neuromuscular disease · motor disability

• Phoneme-based Predictive Text Entry Interface

  Ha Trinh, Annalu Waller, Keith Vertanen, Per Ola Kristensson, Vicki L. Hanson · 2014 · Proceedings of the 16th International ACM SIGACCESS Conference on Computers & Accessibility (ASSETS)

  This paper presents iSCAN-2, an iPad application that enables nonspeaking individuals to enter text by selecting phonemes (speech sounds) rather than spelling words with letters. People with severe speech impairments often face challenges in literacy acquisition, making…

  AAC · text entry · phoneme · speech impairment · word prediction

• How Someone with a Neuromuscular Disease Experiences Operating a PC (and How to Successfully Counteract That)

  Torsten Felzer, Stephan Rinderknecht · 2013 · Proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS)

  This experience report describes the first author's personal journey as a computer scientist with Friedreich's Ataxia (FA), a progressive neuromuscular disease diagnosed at age 15 that causes ataxia of limbs, dysarthria, and muscle weakness. Despite needing a wheelchair since…

  motor impairment · neuromuscular disease · Friedreich's Ataxia · text entry · assistive technology

• iSCAN: A Phoneme-based Predictive Communication Aid for Nonspeaking Individuals

  Ha Trinh, Annalu Waller, Keith Vertanen, Per Ola Kristensson, Vicki L. Hanson · 2012 · Proceedings of the 14th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2012)

  This paper presents iSCAN (Interactive Sound-based Communication Aid for Non-speakers), a phoneme-based predictive communication system designed for people with severe speech impairments (SSI) who lack conventional literacy skills. The core problem is that most augmentative and…

  augmentative and alternative communication · phoneme-based communication · predictive text · word prediction · severe speech impairment

• Joystick Text Entry with Word Prediction for People with Motor Impairments

  Young Chol Song · 2010 · Proceedings of the 12th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2010)

  This short paper presents a joystick-based text entry system enhanced with word completion and next word prediction, designed for people with motor impairments who cannot use conventional keyboards and mice. Existing joystick text entry methods — typically on-screen selection…

  motor impairment · text entry · word prediction · joystick · assistive technology

• User Interaction with Word Prediction: The Effects of Prediction Quality

  Keith Trnka, John McCaw, Debra Yarrington, Kathleen F. McCoy, Christopher Pennington · 2009 · ACM Transactions on Accessible Computing (TACCESS)

  This study investigates how the quality of word prediction systems affects both communication speed and user behavior in augmentative and alternative communication (AAC). The researchers conducted a controlled experiment with 33 adult participants who used a simulated AAC…

  AAC · word prediction · language models · communication rate · user study

• Sibylle, an assistive communication system adapting to the context and its user

  Tonio Wandmacher, Jean-Yves Antoine, Franck Poirier, Jean-Paul Départe · 2008 · ACM Transactions on Accessible Computing

  Sibylle is an augmentative and alternative communication (AAC) system designed for people with severe motor disabilities who cannot use conventional keyboards. The system has been in clinical use at the Kerpape rehabilitation center in Brittany, France since 2001, serving…

  AAC · word prediction · language modeling · user adaptation · n-gram models

• Adapting Word Prediction to Subject Matter without Topic-Labeled Data

  Keith Trnka · 2008 · Proceedings of the 10th International ACM SIGACCESS Conference on Computers and Accessibility (Assets '08)

  This paper proposes a method for adapting word prediction systems to the current topic of discourse without requiring human-labeled topic categories in the training data. Word prediction is a key feature of Augmentative and Alternative Communication (AAC) devices, where it…

  word prediction · AAC · language model · topic modeling · natural language processing

• Corpus Studies in Word Prediction

  Keith Trnka, Kathleen F. McCoy · 2007 · Proceedings of the 9th International ACM SIGACCESS Conference on Computers and Accessibility (Assets '07)

  This paper from the University of Delaware investigates how the choice and combination of training corpora affects the performance of statistical word prediction systems for Augmentative and Alternative Communication (AAC) devices. The fundamental challenge is that AAC users…

  word prediction · AAC · language model · natural language processing · corpus linguistics

• SIBYLLE: a system for alternative communication adapting to the context and its user

  Tonio Wandmacher, Jean-Yves Antoine, Franck Poirier · 2007 · Proceedings of the 9th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '07)

  This paper describes the latest version of SIBYLLE, an augmentative and alternative communication (AAC) system developed at the Université François Rabelais and the Université Européenne de Bretagne for users with severe motor and speech impairments — including cerebrally and…

  augmentative and alternative communication · AAC · word prediction · virtual keyboard · single switch

• From Letters to Words: Efficient Stroke-based Word Completion for Trackball Text Entry

  Jacob O. Wobbrock, Brad A. Myers · 2006 · Proceedings of the 8th International ACM SIGACCESS Conference on Computers and Accessibility (Assets '06)

  This paper presents a significant extension to Trackball EdgeWrite, a unistroke text entry method designed for people who use trackballs as their primary pointing device. The original Trackball EdgeWrite allowed users to enter text one character at a time by rolling a trackball…

  text entry · trackball · motor impairment · word prediction · word completion

• Semantic Knowledge in Word Completion

  Jianhua Li, Graeme Hirst · 2005 · Proceedings of the 7th International ACM SIGACCESS Conference on Computers and Accessibility (Assets '05)

  This paper proposes an integrated word-completion system that combines semantic knowledge with traditional n-gram statistical models to produce more contextually appropriate predictions for users with linguistic or physical disabilities. Standard word-completion systems use…

  word prediction · word completion · natural language processing · text entry · AAC

• User Modeling for Individuals with Disabilities: A Pilot Study of Word Prediction

  Abhishek Agarwal, Richard Simpson · 2005 · Proceedings of the 7th International ACM SIGACCESS Conference on Computers and Accessibility (Assets '05)

  This short paper describes the development of user models that predict how word prediction (WP) systems affect text entry performance for individuals with disabilities. The research addresses a practical clinical problem: clinicians who assess assistive technology for clients…

  word prediction · user modeling · assistive technology · text entry · eye tracking

• Using Handhelds to Help People with Motor Impairments

  Brad A. Myers, Jacob O. Wobbrock, Sunny Yang, Brian Yeung, Jeffrey Nichols, Robert Miller · 2002 · Proceedings of the Fifth International ACM Conference on Assistive Technologies (Assets '02)

  This paper presents the Pebbles project from Carnegie Mellon University, which developed software allowing handheld computers (Palm PDAs) to substitute for a PC's mouse and keyboard for people with muscular dystrophy and similar neuromuscular disorders. The key insight is that…

  motor disability · muscular dystrophy · alternative input · assistive technology · handheld devices

• The application of spatialization and spatial metaphor to augmentative and alternative communication

  Patrick Demasco, Alan F. Newell, John L. Arnott · 1994 · Proceedings of the First Annual ACM Conference on Assistive Technologies (Assets '94)

  This paper presents a collaborative project between the University of Delaware and the University of Dundee investigating how spatialization and spatial metaphors from mainstream HCI research can improve interfaces for augmentative and alternative communication (AAC). The…

  augmentative and alternative communication · spatial interface · human-computer interaction · lexical access · information visualization

• Validation of a keystroke-level model for a text entry system used by people with disabilities

  Heidi H. Koester, Simon P. Levine · 1994 · Proceedings of the First Annual ACM Conference on Assistive Technologies (Assets '94)

  This paper develops and validates a keystroke-level model (KLM) to predict how much word prediction software improves text generation rates compared to letter-by-letter typing for users with and without disabilities. The keystroke-level model, originally proposed by Card, Moran,…

  text entry · word prediction · keystroke-level model · spinal cord injury · usability

21 results.