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Immediate user performances with touch Chinese text entry solutions on handheld devices

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MobileHCI '09: Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services

Article No.: 56, Pages 1 - 2

https://doi.org/10.1145/1613858.1613928

Published: 15 September 2009 Publication History

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Abstract

"Immediate usability" is more important for mobile text entry solutions [7]. We compared immediate user performance of four touch Chinese text entry solutions on mobile devices including two Chinese handwriting recognition (HWR: full screen and 3-box) and two pinyin virtual keyboard (VKB: consonant plus vowel and QWERTY) solutions with novice users. It was found that users make more errors with Chinese HWR solutions than VKB solutions although there are no significant differences between the two solutions in each category. Users are significantly slower with the consonant plus vowel pinyin keyboard than the other three solutions although the consonant plus vowel keyboard is better on the measure of key stroke per character (KSPC).

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Cited By

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Alharbi OStuerzlinger WPutze F(2020)The Effects of Predictive Features of Mobile Keyboards on Text Entry Speed and ErrorsProceedings of the ACM on Human-Computer Interaction10.1145/34273114:ISS(1-16)Online publication date: 4-Nov-2020
https://dl.acm.org/doi/10.1145/3427311
Li GLi Y(2019)Chinese Pinyin Input Method in Smartphone Era: A Literature Review StudyHuman Interface and the Management of Information. Visual Information and Knowledge Management10.1007/978-3-030-22660-2_3(34-43)Online publication date: 28-Jun-2019
https://doi.org/10.1007/978-3-030-22660-2_3
Gao QZhu BRau PVyas SChen CLi H(2013)User Experience with Chinese Handwriting Input on Touch-Screen Mobile PhonesCross-Cultural Design. Methods, Practice, and Case Studies10.1007/978-3-642-39143-9_43(384-392)Online publication date: 2013
https://doi.org/10.1007/978-3-642-39143-9_43
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Index Terms

Immediate user performances with touch Chinese text entry solutions on handheld devices
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
    2. Interaction devices
      1. Touch screens

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Published In

MobileHCI '09: Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services

September 2009

473 pages

ISBN:9781605582818

DOI:10.1145/1613858

Conference Chair:
Reinhard Oppermann
Fraunhofer FIT
,
Program Chairs:
Markus Eisenhauer
Fraunhofer FIT
,
Matthias Jarke
RWTH Aachen + Fraunhofer FIT
,
Volker Wulf
University of Siegen + Fraunhofer FIT

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 September 2009

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MobileHCI '09

MobileHCI '09: 11th International Conference on Human Computer Interaction with Mobile Devices and Services

September 15 - 18, 2009

Bonn, Germany

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MobileHCI '09 Paper Acceptance Rate 23 of 95 submissions, 24%;

Overall Acceptance Rate 202 of 906 submissions, 22%

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Cited By

View all

Alharbi OStuerzlinger WPutze F(2020)The Effects of Predictive Features of Mobile Keyboards on Text Entry Speed and ErrorsProceedings of the ACM on Human-Computer Interaction10.1145/34273114:ISS(1-16)Online publication date: 4-Nov-2020
https://dl.acm.org/doi/10.1145/3427311
Li GLi Y(2019)Chinese Pinyin Input Method in Smartphone Era: A Literature Review StudyHuman Interface and the Management of Information. Visual Information and Knowledge Management10.1007/978-3-030-22660-2_3(34-43)Online publication date: 28-Jun-2019
https://doi.org/10.1007/978-3-030-22660-2_3
Gao QZhu BRau PVyas SChen CLi H(2013)User Experience with Chinese Handwriting Input on Touch-Screen Mobile PhonesCross-Cultural Design. Methods, Practice, and Case Studies10.1007/978-3-642-39143-9_43(384-392)Online publication date: 2013
https://doi.org/10.1007/978-3-642-39143-9_43
Liu YChen XWang LZhang HLI SChurchill ESubramanian SBaudisch PO'Hara K(2012)PinyinPieProceedings of the 14th international conference on Human-computer interaction with mobile devices and services10.1145/2371574.2371614(271-280)Online publication date: 21-Sep-2012
https://dl.acm.org/doi/10.1145/2371574.2371614

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Lightweight user-adaptive handwriting recognizer for resource constrained handheld devices

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