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Shorthand writing on stylus keyboard
IBM Research, Almaden Center, San Jose, CA.
Linköping University, Department of Computer and Information Science, MDALAB - Human Computer Interfaces. Linköping University, The Institute of Technology.
2003 (English)In: Proceeding CHI '03 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, New York: ACM Press , 2003, 97-104 p.Conference paper, Published paper (Refereed)
Abstract [en]

We propose a method for computer-based speed writing, SHARK (shorthand aided rapid keyboarding), which augments stylus keyboarding with shorthand gesturing. SHARK defines a shorthand symbol for each word according to its movement pattern on an optimized stylus keyboard. The key principles for the SHARK design include high efficiency stemmed from layout optimization, duality of gesturing and stylus tapping, scale and location independent writing, Zipf's law, and skill transfer from tapping to shorthand writing due to pattern consistency. We developed a SHARK system based on a classic handwriting recognition algorithm. A user study demonstrated the feasibility of the SHARK method.

Place, publisher, year, edition, pages
New York: ACM Press , 2003. 97-104 p.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:liu:diva-24317DOI: 1-58113-630-7Local ID: 3940OAI: oai:DiVA.org:liu-24317DiVA: diva2:244635
Conference
CHI 2003, April 5–10, 2003, Ft. Lauderdale, Florida, USA
Note

Also in ACM CHI Letters Volume 5 Issue 1

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

Open Access in DiVA

No full text

Other links

Publisher's full texthttp://www.kevinli.net/courses/mobilehci_w2013/papers/SharkFinal.pdf

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Kristensson, Per-Ola

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf