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Large Vocabulary Shorthand Writing on Stylus Keyboard
Linköping University, Department of Computer and Information Science, MDALAB - Human Computer Interfaces. Linköping University, The Institute of Technology.
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: urn:nbn:se:liu:diva-24321Local ID: 3944ISBN: 91-85295-76-0 (print)OAI: oai:DiVA.org:liu-24321DiVA: diva2:244639
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
List of papers
1. Shorthand writing on stylus keyboard
Open this publication in new window or tab >>Shorthand writing on stylus keyboard
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
National Category
Computer Science
Identifiers
urn:nbn:se:liu:diva-24317 (URN)1-58113-630-7 (DOI)3940 (Local ID)3940 (Archive number)3940 (OAI)
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
2. In search of effective text input interfaces for off the desktop computing
Open this publication in new window or tab >>In search of effective text input interfaces for off the desktop computing
2005 (English)In: Interacting with computers, ISSN 0953-5438, E-ISSN 1873-7951, Vol. 17, no 3, 229-250 p.Article in journal (Refereed) Published
Abstract [en]

It is generally recognized that today's frontier of HCI research lies beyond the traditional desktop computers whose GUI interfaces were built on the foundation of display—pointing device—full keyboard. Many interface challenges arise without such a physical UI foundation. Text writing—ranging from entering URLs and search queries, filling forms, typing commands, to taking notes and writing emails and chat messages—is one of the hard problems awaiting for solutions in off-desktop computing. This paper summarizes and synthesizes a research program on this topic at the IBM Almaden Research Center. It analyzes various dimensions that constitute a good text input interface; briefly reviews related literature; discusses the evaluation methodology issues of text input; presents the major ideas and results of two systems, ATOMIK and SHARK; and points out current and future directions in the area from our current vantage point.

Keyword
Text input; Pervasive; Mobile; Off-desktop computing; Shorthand; Gesture; Stylus; Virtual keyboard
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-102012 (URN)10.1016/j.intcom.2003.12.007 (DOI)000229414800001 ()
Available from: 2013-11-26 Created: 2013-11-26 Last updated: 2017-12-06
3. SHARK2: A Large Vocabulary Shorthand Writing System for Pen-based Computers
Open this publication in new window or tab >>SHARK2: A Large Vocabulary Shorthand Writing System for Pen-based Computers
2004 (English)In: UIST '04 Proceedings of the 17th annual ACM symposium on User interface software and technology, New York: ACM Press , 2004, 43-52 p.Conference paper, Published paper (Refereed)
Abstract [en]

Zhai and Kristensson (2003) presented a method of speed-writing for pen-based computing which utilizes gesturing on a stylus keyboard for familiar words and tapping for others. In SHARK2:, we eliminated the necessity to alternate between the two modes of writing, allowing any word in a large vocabulary (e.g. 10,000-20,000 words) to be entered as a shorthand gesture. This new paradigm supports a gradual and seamless transition from visually guided tracing to recall-based gesturing. Based on the use characteristics and human performance observations, we designed and implemented the architecture, algorithms and interfaces of a high-capacity multi-channel pen-gesture recognition system. The system's key components and performance are also reported.

Place, publisher, year, edition, pages
New York: ACM Press, 2004
National Category
Computer Science
Identifiers
urn:nbn:se:liu:diva-24318 (URN)10.1145/1029632.1029640 (DOI)3941 (Local ID)1-58113-957-8 (ISBN)3941 (Archive number)3941 (OAI)
Conference
UIST 2004, the Seventeenth Annual ACM Symposium on User Interface Software and Technology. Santa Fe, New Mexico. October 24–27, 2004.
Note

Also in ACM CHI Letters Volume 6 Issue 2

Available from: 2009-10-07 Created: 2009-10-07 Last updated: 2013-11-26
4. Pattern Matching on Stylus Keyboards: A Powerful Approach to Faster and Easier Pen-based Text Entry
Open this publication in new window or tab >>Pattern Matching on Stylus Keyboards: A Powerful Approach to Faster and Easier Pen-based Text Entry
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
National Category
Computer Science
Identifiers
urn:nbn:se:liu:diva-24320 (URN)3943 (Local ID)3943 (Archive number)3943 (OAI)
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

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Kristensson, Per-Ola

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
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Language
  • de-DE
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  • en-US
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  • sv-SE
  • Other locale
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Output format
  • html
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  • asciidoc
  • rtf