Article

Recognition errors and recognizing errors: children writing on the tablet PC

Authors:

Janet Read,

Emanuela Mazzone,

Matthew HortonAuthors Info & Claims

INTERACT'05: Proceedings of the 2005 IFIP TC13 international conference on Human-Computer Interaction

Pages 1096 - 1099

https://doi.org/10.1007/11555261_113

Published: 12 September 2005 Publication History

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Abstract

The paper describes a research study to determine the usability of handwriting recognition technology on a tablet PC for free writing by children. Results demonstrate that recognition error rates vary according to the metrics used, and the authors discuss how some of the errors are created concluding that the error rates say very little about what was happening at the interface and that with research of this type (novel interfaces and young users) researchers need to be immersed in the context in order to produce useful results.

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Plamondon, R. and S.N. Srihari, On-line and Off-Line Handwriting Recognition: A Comprehensive Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000. 22(1): p. 63-84.

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Read, J.C. and M. Horton. The Usability of Digital Tools in the Primary Classroom. in Ed- Media2004. 2004. Lugano: AACE.

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MacKenzie, I.S. and R.W. Soukoreff, Text Entry for Mobile Computing: Models and Methods, Theory and Practice. Human-Computer Interaction, 2002. 17(2): p. 147-198.

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Cited By

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Dziubliuk VZlotnyk MViatchaninov O(2021)Sequence Learning Model for Syllables Recognition Arranged in Two DimensionsDocument Analysis and Recognition – ICDAR 202110.1007/978-3-030-86334-0_7(100-111)Online publication date: 5-Sep-2021
https://dl.acm.org/doi/10.1007/978-3-030-86334-0_7
Kim KLim JProctor RSalvendy G(2016)User Satisfaction with Tablet PC FeaturesHuman Factors in Ergonomics & Manufacturing10.1002/hfm.2061926:2(149-158)Online publication date: 1-Mar-2016
https://dl.acm.org/doi/10.1002/hfm.20619
Read J(2007)A study of the usability of handwriting recognition for text entry by childrenInteracting with Computers10.1016/j.intcom.2006.08.00919:1(57-69)Online publication date: 1-Jan-2007
https://dl.acm.org/doi/10.1016/j.intcom.2006.08.009
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Index Terms

Recognition errors and recognizing errors: children writing on the tablet PC
1. Applied computing
  1. Document management and text processing
    1. Document capture
      1. Optical character recognition

Index terms have been assigned to the content through auto-classification.

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Abstract
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Published In

INTERACT'05: Proceedings of the 2005 IFIP TC13 international conference on Human-Computer Interaction

September 2005

1157 pages

ISBN:3540289437

Editors:
Maria Francesca Costabile
Dipartimento di Informatica, Università degli Studi di Bari, Bari, Italy
,
Fabio Paternò
Dipartimento di Informatica, ISTI-CNR, Via G. Moruzzi 1, Pisa, Italy

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 12 September 2005

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Dziubliuk VZlotnyk MViatchaninov O(2021)Sequence Learning Model for Syllables Recognition Arranged in Two DimensionsDocument Analysis and Recognition – ICDAR 202110.1007/978-3-030-86334-0_7(100-111)Online publication date: 5-Sep-2021
https://dl.acm.org/doi/10.1007/978-3-030-86334-0_7
Kim KLim JProctor RSalvendy G(2016)User Satisfaction with Tablet PC FeaturesHuman Factors in Ergonomics & Manufacturing10.1002/hfm.2061926:2(149-158)Online publication date: 1-Mar-2016
https://dl.acm.org/doi/10.1002/hfm.20619
Read J(2007)A study of the usability of handwriting recognition for text entry by childrenInteracting with Computers10.1016/j.intcom.2006.08.00919:1(57-69)Online publication date: 1-Jan-2007
https://dl.acm.org/doi/10.1016/j.intcom.2006.08.009
Read JMacFarlane SKelly SMazzone EHorton MOlson GJeffries R(2006)The ChiCI groupCHI '06 Extended Abstracts on Human Factors in Computing Systems10.1145/1125451.1125517(295-298)Online publication date: 21-Apr-2006
https://dl.acm.org/doi/10.1145/1125451.1125517

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Recognition assistance treating errors in texts acquired from various recognition processes

Aiding human discovery of handwriting recognition errors

Recovering Segmentation Errors in Handwriting Recognition Systems

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