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Pattern Matching on Stylus Keyboards: A Powerful Approach to Faster and Easier Pen-based Text Entry
Linköping University, Department of Computer and Information Science, MDALAB - Human Computer Interfaces. Linköping University, The Institute of Technology.
2004 (English)In: Adjunct Proceedings of the 17th ACM Symposium on User Interface Software and Technology (UIST 2004), New York: ACM Press , 2004, 59- p.Conference paper, Published paper (Refereed)
Abstract [en]

Much work has been done in developing alternative methods of writing for pen-based computers, including handwriting recognition, optimization of keyboard layouts, and specialized writing systems. Generally there is a trade- off between writing speed and the effort required by the user to write the text. My doctoral dissertation is about developing text entry systems maximizing the writing speed but minimizing users' effort by taking advantage of the redundancy of the human languages and viewing the legitimate input strings in the language as patterns mapped on a keyboard layout. I present my work on using pattern matching algorithms to take advantage of these constraints to develop a shorthand writing system combined with a stylus keyboard, allowing fast text entry without the need to learn any custom alphabet or a specialized writing system. I also present some of the feedback and output interfaces I believe can greatly enhance the user experience when using pattern matching text entry systems. I conclude by discussing performance evaluation and planned future work.

Place, publisher, year, edition, pages
New York: ACM Press , 2004. 59- p.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:liu:diva-24320Local ID: 3943OAI: oai:DiVA.org:liu-24320DiVA: diva2:244638
Conference
UIST ’04, October 24–27, 2004, Santa Fe, New Mexico, USA
Note

Conference Companion

Available from: 2009-10-07 Created: 2009-10-07 Last updated: 2013-11-26
In thesis
1. Large Vocabulary Shorthand Writing on Stylus Keyboard
Open this publication in new window or tab >>Large Vocabulary Shorthand Writing on Stylus Keyboard
2004 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

We present a novel text entry method for pen-based computers. We view the trace obtained by connecting the letter keys comprising a word on a stylus keyboard as a pattern. This pattern can be matched against a user-s pen trace, invariant of scale and translation. Hence the patterns become an efficient form of shorthand gestures, allowing users to use eyes-free openloop motor actions to perform the gestures. This can result in higher text entry speed than optimized stylus keyboards, the fastest known text entry technique for pen-computers as of today. The approach supports a gradual and seamless skill transition from novices tracing the letter keys to experts articulating the shorthand gestures. Hence the ratio between the learning effort and efficiency in using the system can be said to be optimized at any given point in time in the user-s experience with the technique. This thesis describes the rationale, architecture and lgorithms behind a stylus keyboard augmented with a high-capacity gesture recognition engine. We also report results from an Expanding Rehearsal Interval (ERI) experiment which indicates that users can acquire about 15 shorthand gestures per 45 minute training session. Empirical expert speed estimates of the technique indicate text entry speeds much higher than any prior known pen-based text entry system for mobile computers.  

Place, publisher, year, edition, pages
Linköping: Linköpings universitet, 2004. 14 p.
Series
Linköping Studies in Science and Technology. Thesis, ISSN 0280-7971 ; 1127
National Category
Computer Science
Identifiers
urn:nbn:se:liu:diva-24321 (URN)3944 (Local ID)91-85295-76-0 (ISBN)3944 (Archive number)3944 (OAI)
Presentation
2004-11-19, Alan Turing, Hus E, Linköpings universitet, Linköping, 10:15 (Swedish)
Available from: 2009-10-07 Created: 2009-10-07 Last updated: 2013-11-26

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http://www.acm.org/uist/archive/adjunct/2004/pdf/doctoral_consortium/dc3-kristensson.pdf

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Kristensson, Per-Ola

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • Other style
More styles
Language
  • de-DE
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  • Other locale
More languages
Output format
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  • asciidoc
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