Automatic whiteout++

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Automatic whiteout++: correcting mini-QWERTY typing errors using keypress timing

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Conference on Human Factors in Computing Systems archive
Proceeding of the twenty-sixth annual SIGCHI conference on Human factors in computing systems table of contents

Florence, Italy

SESSION: Post-QWERTY QWERTY table of contents

Pages 573-582

Year of Publication: 2008

ISBN:978-1-60558-011-1

Authors

James Clawson	Georgia Institute of Technology, Atlanta, GA, USA
Kent Lyons	Intel Research, Santa Clara, CA, USA
Alex Rudnick	Georgia Institute of Technology, Atlanta, GA, USA
Robert A. Iannucci, Jr.	Georgia Institute of Technology, Atlanta, GA, USA
Thad Starner	Georgia Institute of Technology, Atlanta, GA, USA

Sponsors

ACM: Association for Computing Machinery
SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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ACM New York, NY, USA

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ABSTRACT

By analyzing features of users' typing, Automatic Whiteout++ detects and corrects up to 32.37% of the errors made by typists while using a mini-QWERTY (RIM Blackberry style) keyboard. The system targets "off-by-one" errors where the user accidentally presses a key adjacent to the one intended. Using a database of typing from longitudinal tests on two different keyboards in a variety of contexts, we show that the system generalizes well across users, model of keyboard, user expertise, and keyboard visibility conditions. Since a goal of Automatic Whiteout++ is to embed it in the firmware of mini-QWERTY keyboards, it does not rely on a dictionary. This feature enables the system to correct errors mid-word instead of applying a correction after the word has been typed. Though we do not use a dictionary, we do examine the effect of varying levels of language context in the system's ability to detect and correct erroneous keypresses.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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