Assistive technology computers and persons with disabilities
Communications of the ACM
Extra-ordinary human-computer interaction: interfaces for users with disabilities
Extra-ordinary human-computer interaction: interfaces for users with disabilities
Intelligent system for speech and language impaired people: a portfolio of research
Extra-ordinary human-computer interaction
Keyboard and mouse errors due to motor disabilities
International Journal of Human-Computer Studies
Using functional assessment to improve information systems research, design and technology matching
ACM SIGACCESS Accessibility and Computing
An architecture to improve the generalization of interacting device developments for accessibility
WebMedia '06 Proceedings of the 12th Brazilian Symposium on Multimedia and the web
TrueKeys: identifying and correcting typing errors for people with motor impairments
Proceedings of the 13th international conference on Intelligent user interfaces
Ability-Based Design: Concept, Principles and Examples
ACM Transactions on Accessible Computing (TACCESS)
An Artificial Intelligence-based language modeling framework
Expert Systems with Applications: An International Journal
ACM SIGACCESS Accessibility and Computing
ACCESS: a technical framework for adaptive accessibility support
Proceedings of the 5th ACM SIGCHI symposium on Engineering interactive computing systems
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Overlap errors, in which two keys are pressed down at once, are a common typing error for people with motor disabilities. Keyguards are a commonly suggested means to may reduce overlap errors. However, they are also unpopular with many users. We present an alternative to the keyguard, a software filter which targets overlap errors. Basic, keystroke timing-based, and language-based techniques for identifying and correcting overlap errors are described. Their performance is compared using a corpus of typing data recorded by keyboard users with motor disabilities. The best filter performance was obtained by keystroke timing characteristics to identify and filter out extra characters. Accuracy of error identification was dependent on the typing style of the user. The filter accurately corrected 80% of the overlap errors presented. Combining the identification and correction techniques gave a 50--75% reduction in errors for the three study participants with the highest error rates.