VITIPI: versatile interpretation of text input by persons with impairments
ICCHP '96 Proceedings of the 5th International conference on Computers helping people with special needs. Part I
A technique for computer detection and correction of spelling errors
Communications of the ACM
Measuring errors in text entry tasks: an application of the Levenshtein string distance statistic
CHI '01 Extended Abstracts on Human Factors in Computing Systems
Proceedings of the fifth international ACM conference on Assistive technologies
Metrics for text entry research: an evaluation of MSD and KSPC, and a new unified error metric
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Phrase sets for evaluating text entry techniques
CHI '03 Extended Abstracts on Human Factors in Computing Systems
Analyzing the input stream for character- level errors in unconstrained text entry evaluations
ACM Transactions on Computer-Human Interaction (TOCHI)
What input errors do you experience? Typing and pointing errors of mobile Web users
International Journal of Human-Computer Studies
Small-device users situationally impaired by input
Computers in Human Behavior
Ability-Based Design: Concept, Principles and Examples
ACM Transactions on Accessible Computing (TACCESS)
The 1line keyboard: a QWERTY layout in a single line
Proceedings of the 24th annual ACM symposium on User interface software and technology
ACM SIGACCESS Accessibility and Computing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
How Do People Use Their Mobile Phones?: A Field Study of Small Device Users
International Journal of Mobile Human Computer Interaction
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People with motor impairments often have difficulty typing using desktop keyboards. We developed TrueKeys, a system that combines models of word frequency, keyboard layout, and typing error patterns to automatically identify and correct typing mistakes. In this paper, we describe the TrueKeys algorithm, compare its performance to existing correction algorithms, and report on a study of TrueKeys with 9 motor-impaired and 9 non-impaired participants. Running in non-interactive mode, TrueKeys performed more corrections than popular commercial and open source spell checkers. Used interactively, both motor-impaired and non-impaired users performed typing tasks significantly more accurately with TrueKeys than without. However, typing speed was reduced while TrueKeys was enabled.