Automatic classification of auto-correction errors in predictive text entry based on EEG and context information

Abstract

State-of-the-art auto-correction methods for predictive text entry systems work reasonably well, but can never be perfect due to the properties of human language. We present an approach for the automatic detection of erroneous auto-corrections based on brain activity and text-entry-based context features. We describe an experiment and a new system for the… (More)
DOI: 10.1145/3136755.3136784

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Cite this paper

@inproceedings{Putze2017AutomaticCO, title={Automatic classification of auto-correction errors in predictive text entry based on EEG and context information}, author={Felix Putze and Maik Sch{\"u}nemann and Tanja Schultz and Wolfgang Stuerzlinger}, booktitle={ICMI}, year={2017} }