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  1. 論文誌(ジャーナル)
  2. Vol.55
  3. No.3

HMM-Based Probabilistic Flick Keyboard Adaptable to Individual User

https://ipsj.ixsq.nii.ac.jp/records/99496
https://ipsj.ixsq.nii.ac.jp/records/99496
a1cc6316-8a2d-49e6-ac60-5c59821a2dd6
名前 / ファイル ライセンス アクション
IPSJ-JNL5503014.pdf IPSJ-JNL5503014 (1.0 MB)
Copyright (c) 2014 by the Information Processing Society of Japan
オープンアクセス
Item type Journal(1)
公開日 2014-03-15
タイトル
タイトル HMM-Based Probabilistic Flick Keyboard Adaptable to Individual User
タイトル
言語 en
タイトル HMM-Based Probabilistic Flick Keyboard Adaptable to Individual User
言語
言語 eng
キーワード
主題Scheme Other
主題 [一般論文] PDA interfaces, usability, input technologies, personalization
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
著者所属
KDDI R&D Laboratories, Inc.
著者所属
KDDI R&D Laboratories, Inc.
著者所属(英)
en
KDDI R&D Laboratories, Inc.
著者所属(英)
en
KDDI R&D Laboratories, Inc.
著者名 Toshiyuki, Hagiya

× Toshiyuki, Hagiya

Toshiyuki, Hagiya

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Tsuneo, Kato

× Tsuneo, Kato

Tsuneo, Kato

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著者名(英) Toshiyuki, Hagiya

× Toshiyuki, Hagiya

en Toshiyuki, Hagiya

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Tsuneo, Kato

× Tsuneo, Kato

en Tsuneo, Kato

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論文抄録
内容記述タイプ Other
内容記述 To provide an accurate and user-adaptable software keyboard for touchscreens, we propose a probabilistic flick keyboard based on hidden Markov models (HMMs). Touch and flick operations for each character are modeled by HMMs. This keyboard reduces input errors by taking the trajectory of the actual touch position into consideration and by user adaptation. We evaluated the performance of an HMM-based flick keyboard and maximum-likelihood linear regression (MLLR) adaptation. Experimental results showed that a user-dependent model reduced the error rate by 28.3%. In a practical setting, the MLLR adaptation to a specific user with only 10 words reduced the error rate by 16.6% and increased the typing speed by 11.9%.

------------------------------
This is a preprint of an article intended for publication Journal of
Information Processing(JIP). This preprint should not be cited. This
article should be cited as: Journal of Information Processing Vol.22(2014) No.2 (online)
DOI http://dx.doi.org/10.2197/ipsjjip.22.410
------------------------------
論文抄録(英)
内容記述タイプ Other
内容記述 To provide an accurate and user-adaptable software keyboard for touchscreens, we propose a probabilistic flick keyboard based on hidden Markov models (HMMs). Touch and flick operations for each character are modeled by HMMs. This keyboard reduces input errors by taking the trajectory of the actual touch position into consideration and by user adaptation. We evaluated the performance of an HMM-based flick keyboard and maximum-likelihood linear regression (MLLR) adaptation. Experimental results showed that a user-dependent model reduced the error rate by 28.3%. In a practical setting, the MLLR adaptation to a specific user with only 10 words reduced the error rate by 16.6% and increased the typing speed by 11.9%.

------------------------------
This is a preprint of an article intended for publication Journal of
Information Processing(JIP). This preprint should not be cited. This
article should be cited as: Journal of Information Processing Vol.22(2014) No.2 (online)
DOI http://dx.doi.org/10.2197/ipsjjip.22.410
------------------------------
書誌レコードID
収録物識別子タイプ NCID
収録物識別子 AN00116647
書誌情報 情報処理学会論文誌

巻 55, 号 3, 発行日 2014-03-15
ISSN
収録物識別子タイプ ISSN
収録物識別子 1882-7764
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