Nothing Special   »   [go: up one dir, main page]

skip to main content
10.1145/1753326.1753330acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
research-article

SHRIMP: solving collision and out of vocabulary problems in mobile predictive input with motion gesture

Published: 10 April 2010 Publication History

Abstract

Dictionary-based disambiguation (DBD) is a very popular solution for text entry on mobile phone keypads but suffers from two problems: 1. the resolution of encoding collision (two or more words sharing the same numeric key sequence) and 2. entering out-of-vocabulary (OOV) words. In this paper, we present SHRIMP, a system and method that addresses these two problems by integrating DBD with camera based motion sensing that enables the user to express preference through a tilting or movement gesture. SHRIMP (Small Handheld Rapid Input with Motion and Prediction) runs on camera phones equipped with a standard 12-key keypad. SHRIMP maintains the speed advantage of DBD driven predictive text input while enabling the user to overcome DBD collision and OOV problems seamlessly without even a mode switch. An initial empirical study demonstrates that SHRIMP can be learned very quickly, performed immediately faster than MultiTap and handled OOV words more efficiently than DBD.

References

[1]
Aho, A., Sethi, R., Ullman, J., Compilers: Principles, Techniques, and Tools, Addison Wesley Publishing, ISBN 0201100886.
[2]
Dunlop, M., and Crossan, A. Predictive Text Entry Methods for Mobile Phones. Personal Technologies, 2000.
[3]
Dunlop, M., Taylor, F., Tactile Feedback for Predictive Text Entry, In Proc. of CHI 2009.
[4]
Gong, J., Tarasewich, P., Alphabetically Constrained Keypad Designs for Text Entry on Mobile Devices, In Proc. of CHI 2005.
[5]
Grover, D.L., King, M.T., and Kushler, C. A. Patent No. US5818437, Reduced keyboard Disambiguating Computer. Tegic Communications, Inc., Seattle (1998).
[6]
How, J., Kan, M.Y., Optimizing Predictive text entry for short message service on mobile phones. In Proc. of HCII 2005.
[7]
Ingmarsson, M., Dinka, D., Zhai, S., TNT: a Numeric Keypad based Text Input Method. In Proc of CHI 2004.
[8]
International Telecommunication Union, Arrangement of Digits, Letters and Symbols on Telephones and Other Devices that can be used for gaining access to a Telephone Network, ITU Recommendation E.161. 1993.
[9]
International Telecommunication Union: Worldwide mobile cellular subscribers to reach 4 billion mark late 2008 http://www.itu.int/newsroom/press_releases/2008/29.html
[10]
James, C.L. and Reischel, K.M., Text input for mobile devices: Comparing model prediction to actual performance. In Proc. of CHI 2001.
[11]
Jansen, B., Zhang, M., el al., Twitter power: Tweets as electronic word of mouth, Journal of the American Society for Information Science and Technology, 2009.
[12]
Jelinek, F., Statistical methods for speech recognition, MIT Press, Cambridge, MA, 1998
[13]
Kucera, H. and Francis, W. N. Computational Analysis of Present-Day American English. Providence, Rhode Island: Brown University Press, 1967.
[14]
MacKenzie, I.S., Kober, H., et al., E. LetterWise: Prefix-based disambiguation for mobile text input. In Proc. of UIST 2001
[15]
Mayzner, M.S., and Tresselt, M.E. Table of single-letter and digram frequency counts for various word-length and letter-position combinations, Psychonomic Monograph Supplements 1 (1965), 13--32.
[16]
Rau, H., Skiena, S., Dialing for Documents: an Experiment in Information Theory, UIST 1994.
[17]
Silfverberg, M., MacKenzie, I.S., Korhonen, P. Predicting Text Entry Speed on Mobile Phones, In Proc. of CHI 2000.
[18]
Smith, S., Goodwin, N., Alphabetic Data Entry Via the Touch-Tone Pad: A Comment, HUMAN FACTORS, The Mitre Corporation, 1971, 13(2) P.p 189--190.
[19]
Wigdor, D., Balakrishnan, R., A Comparison of Consecutive and Concurrent Input Text Entry Techniques for Mobile Phones, in Proc. of CHI 2004.
[20]
Wigdor, D., Balakrishnan, R., TiltText: Using Tilt for Text Input to Mobile Phones. In Proc. of UIST 2003.
[21]
Wang, J, Zhai, S., Canny, J., Camera Phone Based Motion Sensing : Interaction Techniques, Applications and Performance Study. In Proc. of UIST 2006.
[22]
Why Book Means Cool http://www.languagehat.com/archives/002415.php
[23]
Wobbrock, J.O. and Myers, B.A. Analyzing the input stream for Character-level Errors in Unconstrained Text Entry Evaluations. In Proc of ACM ToCHI vol. 13 (4), 2006.
[24]
Wobbrock, J.O., Myers, B.A. and Chau, D.H. In-stroke Word Completion. In Proc. of UIST 2006.
[25]
Wobbrock, J.O., Chau, D.H. and Myers, B.A. An Alternative to Push, Press, and Tap-tap-tap: Gesturing on an Isometric Joystick for Mobile Phone Text Entry. In Proc. of CHI 2007.
[26]
Zhai, S., Hunter, M., Smith, B., The Metropolis Keyboard -- an Exploration of Quantitative Techniques for Virtual Keyboard Design, In Proc. of UIST 2001.
[27]
Zhai, S. and Kristensson, P. Shorthand Writing on Stylus Keyboard. In Proc. of CHI 2003.

Cited By

View all
  • (2024)Touchtalk: Enhancing Messaging in Smartphones for Visually ImpairedProceedings of the 14th Indian Conference on Human-Computer Interaction10.1007/978-981-97-4335-3_7(133-148)Online publication date: 3-Aug-2024
  • (2022)Freehand Gestural Selection with Haptic Feedback in Wearable Optical See-Through Augmented RealityInformation10.3390/info1312056613:12(566)Online publication date: 2-Dec-2022
  • (2017)Text entry using five to seven physical keys2017 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)10.1109/VLHCC.2017.8103481(291-295)Online publication date: Oct-2017
  • Show More Cited By

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences
CHI '10: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
April 2010
2690 pages
ISBN:9781605589299
DOI:10.1145/1753326
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 April 2010

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. camera phones
  2. dictionary-based disambiguation
  3. gestures
  4. mobile devices
  5. mobile phones
  6. multitap
  7. predictive input
  8. t9
  9. text input

Qualifiers

  • Research-article

Conference

CHI '10
Sponsor:

Acceptance Rates

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

Upcoming Conference

CHI 2025
ACM CHI Conference on Human Factors in Computing Systems
April 26 - May 1, 2025
Yokohama , Japan

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)7
  • Downloads (Last 6 weeks)1
Reflects downloads up to 14 Dec 2024

Other Metrics

Citations

Cited By

View all
  • (2024)Touchtalk: Enhancing Messaging in Smartphones for Visually ImpairedProceedings of the 14th Indian Conference on Human-Computer Interaction10.1007/978-981-97-4335-3_7(133-148)Online publication date: 3-Aug-2024
  • (2022)Freehand Gestural Selection with Haptic Feedback in Wearable Optical See-Through Augmented RealityInformation10.3390/info1312056613:12(566)Online publication date: 2-Dec-2022
  • (2017)Text entry using five to seven physical keys2017 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)10.1109/VLHCC.2017.8103481(291-295)Online publication date: Oct-2017
  • (2015)GyroPen: Gyroscopes for Pen-Input With Mobile PhonesIEEE Transactions on Human-Machine Systems10.1109/THMS.2014.236572345:2(263-271)Online publication date: Apr-2015
  • (2014)Disambiguation of imprecise input with one-dimensional rotational text entryACM Transactions on Computer-Human Interaction10.1145/254254421:1(1-40)Online publication date: 1-Feb-2014
  • (2013)LensGestureProceedings of the 15th ACM on International conference on multimodal interaction10.1145/2522848.2522850(287-294)Online publication date: 9-Dec-2013
  • (2012)Mode switching techniques through pen and device profilesProceedings of the 10th asia pacific conference on Computer human interaction10.1145/2350046.2350081(169-176)Online publication date: 28-Aug-2012
  • (2011)How's my mood and stress?Proceedings of the 6th International Conference on Body Area Networks10.5555/2318776.2318794(71-77)Online publication date: 7-Nov-2011
  • (2011)Gesture-aware remote controlsProceedings of the 13th international conference on multimodal interfaces10.1145/2070481.2070530(263-270)Online publication date: 14-Nov-2011
  • (2011)MultiPressCHI '11 Extended Abstracts on Human Factors in Computing Systems10.1145/1979742.1979796(1489-1494)Online publication date: 7-May-2011

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format.

HTML Format

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media