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• Semantic & syntactic context-aware text entry methods

  Jun Gong · 2007 · Proceedings of the 9th International ACM SIGACCESS Conference on Computers and Accessibility (Assets '07)

  Jun Gong's Assets '07 demonstration paper proposes a context-aware extension to the dictionary-based predictive disambiguation (DBPD) text-entry methods — the family that included the once-ubiquitous T9 on mobile phone keypads. DBPD methods let users press each multi-letter key…

  text entry · motor impairment · visual impairment · predictive text · T9

• Physical Usability and the Mobile Web

  Shari Trewin · 2006 · Proceedings of the 2006 International Cross-Disciplinary Workshop on Web Accessibility (W4A)

  This paper systematically compares the physical usability challenges faced by desktop web users with motor impairments and mobile web users, identifying where their needs overlap and diverge. Trewin first catalogs the interaction landscape for users with physical disabilities on…

  motor accessibility · mobile accessibility · physical disability · device independence · input methods

• Indirect Text Entry Using One or Two Keys

  Melanie Baljko, Andrew Tam · 2006 · Proceedings of the 8th International ACM SIGACCESS Conference on Computers and Accessibility (Assets '06)

  This paper introduces a new descriptive model for indirect text entry — text composition methods where the number of input devices (switches) is significantly smaller than the number of selectable characters. This is the primary text entry paradigm for users of augmentative and…

  AAC · switch access · text entry · scanning · Huffman coding

• 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

• Alternative Text Entry Using Different Input Methods

  Torsten Felzer, Rainer Nordmann · 2006 · Proceedings of the 8th International ACM SIGACCESS Conference on Computers and Accessibility (Assets '06)

  This paper presents the HaMCoS (Hands-free Mouse Control System) framework and its text entry applications, designed for people who cannot use their hands to operate a keyboard. HaMCoS works by detecting intentional muscle contractions — specifically single (CE1) and double…

  text entry · motor impairment · alternative input · single switch · bio-signals

• 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

• Gestural Text Entry on Multiple Devices

  Jacob O. Wobbrock, Brad A. Myers · 2005 · Proceedings of the 7th International ACM SIGACCESS Conference on Computers and Accessibility (Assets '05)

  This paper from Carnegie Mellon University presents adaptations of the EdgeWrite unistroke text entry method across multiple computer input devices: styluses, touchpads, displacement and isometric joysticks, four keys or buttons, and trackballs. EdgeWrite was originally designed…

  text entry · input methods · motor accessibility · gestural input · EdgeWrite

• 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

• Text Entry from Power Wheelchairs: EdgeWrite for Joysticks and Touchpads

  Jacob O. Wobbrock, Brad A. Myers, Htet Htet Aung, Edmund F. LoPresti · 2004 · Proceedings of the 6th International ACM SIGACCESS Conference on Computers and Accessibility (Assets 04)

  This paper presents two adaptations of EdgeWrite, a gestural text entry method originally designed as a stylus-based unistroke technique for people with tremor, reconfigured for use with power wheelchair joysticks and touchpads. The research addresses a significant gap in…

  text entry · motor accessibility · power wheelchair · joystick · touchpad

• 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

• 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