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In search of effective text input interfaces for off the desktop computing
IBM Almaden Research Cente, San Jose, USA.
IBM Almaden Research Cente, San Jose, USA.
IBM Almaden Research Cente, San Jose, USA.
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.

Place, publisher, year, edition, pages
2005. Vol. 17, no 3, 229-250 p.
Keyword [en]
Text input; Pervasive; Mobile; Off-desktop computing; Shorthand; Gesture; Stylus; Virtual keyboard
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-102012DOI: 10.1016/j.intcom.2003.12.007ISI: 000229414800001OAI: oai:DiVA.org:liu-102012DiVA: diva2:667380
Available from: 2013-11-26 Created: 2013-11-26 Last updated: 2017-12-06
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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Kristensson, Per-Ola

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Citation style
  • apa
  • harvard1
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  • vancouver
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  • Other style
More styles
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  • nn-NO
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  • sv-SE
  • Other locale
More languages
Output format
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  • asciidoc
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