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PressureText: pressure input for mobile phone text entry
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Conference on Human Factors in Computing Systems archive
Proceedings of the 27th international conference extended abstracts on Human factors in computing systems table of contents
Boston, MA, USA
SESSION: Spotlight on work in progress session 2 table of contents
Pages 4519-4524  
Year of Publication: 2009
ISBN:978-1-60558-247-4
Authors
David C. McCallum  University of Manitoba, Winnipeg, MAN, Canada
Edward Mak  University of Manitoba, Winnipeg, MAN, Canada
Pourang Irani  University of Manitoba, Winnipeg, MAN, Canada
Sriram Subramanian  University of Bristol, Bristol, United Kingdom
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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ABSTRACT

Pressure sensitive buttons are appealing for reducing repetitive tasks such as text entry on mobile phone keypads, where multiple key presses are currently necessary to record an action. We present PressureText, a text-entry technique for a pressure augmented mobile phone. In a study comparing PressureText to MultiTap, we found that despite limited visual feedfback for pressure input, users overall performed equally well with PressureText as with MultiTap. Expertise was a determining factor for improved performance with PressureText. Expert users showed a 33.6% performance gain over novices. Additionally, expert users were 5% faster on average with PressureText than MultiTap, suggesting that pressure input is a valuable augmentation to mobile phone keypads.


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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Edward C. Clarkson, Shwetak N. Patel, Jeffrey S. Pierce, and Gregory D. Abowd 2006, Exploring Continuous Pressure Input for Mobile Phones, GVU Tech. Report; GIT-GVU-06-20. http://hdl.handle.net/1853/ 13138.
 
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Soukoreff, W., & MacKenzie, I.S. (2002). Text entry for mobile computing: Models and methods, theory and practice. Human-Computer Interaction, 17. p. 147--198.
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Collaborative Colleagues:
David C. McCallum: colleagues
Edward Mak: colleagues
Pourang Irani: colleagues
Sriram Subramanian: colleagues