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Improving dictionary-based disambiguation text entry method accuracy
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Conference on Human Factors in Computing Systems archive
CHI '07 extended abstracts on Human factors in computing systems table of contents
San Jose, CA, USA
SESSION: Work-in-progress table of contents
Pages: 2387 - 2392  
Year of Publication: 2007
ISBN:978-1-59593-642-4
Authors
Jun Gong  Northeastern University, Boston, MA
Peter Tarasewich  Northeastern University, Boston, MA
Carole D. Hafner  Northeastern University, Boston, MA
Scott I. Mackenzie  York University, Toronto, ON, Canada
Sponsors
ACM: Association for Computing Machinery
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 6,   Downloads (12 Months): 43,   Citation Count: 1
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ABSTRACT

Text entry on mobile devices is problematic because of ever-decreasing device sizes. Dictionary-based keypad text entry methods are relatively effective, but still run into problems of word ambiguity, especially when used with small numbers of keys. Common text entry disambiguation methods only use word frequency information to resolve conflicts. This paper proposes a new method that also looks at semantic information (distances between word meanings). Simulations show encouraging results, suggesting potential practical applications of this method to mobile devices.


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.

 
1
Dunlop, D. M. Watch-Top Text-Entry: Can Phone-Style Predictive Text-Entry Work with Only 5 Buttons? In Proc. Mobile HCI 2004, (2004), 342--346.
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Lesher, G.W., Moulton, B.J., and Higginbotham, D.J. Optimal character arrangements for ambiguous keyboards, In IEEE Trans. on Rehabilitation Engineering, 6 (1998), 415--423.
 
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Lesher, G., Moulton, B., and Higginbotham, J. Effects of ngram order and training text size on word prediction, In Proc. of the RESNA99 Annual Conference. (1999).
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Porter, M. F. An algorithm for suffix stripping, Program, 14, 3 (1980), 130--137.
 
8
Reuters Corpora, http://trec.nist.gov/data/reuters/reuters.html (accessed November 30, 2006).


Collaborative Colleagues:
Jun Gong: colleagues
Peter Tarasewich: colleagues
Carole D. Hafner: colleagues
Scott I. Mackenzie: colleagues