Automatic generation of GUI for smartphone IME by classifying user behavior patterns

Sang Muk Jo; Sung Bae Cho

doi:10.1109/SOCPAR.2015.7492824

Automatic generation of GUI for smartphone IME by classifying user behavior patterns

Sang Muk Jo, Sung Bae Cho

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Various user's situation and small screen compared with computer keyboard influence the performance of the IME (Input Method Editor, a program that allows users to enter characters and symbols). According to the hand that a user is using, it has a significant effect on the IME input. In this paper, we propose a method based on decision tree to generate GUI automatically for the IME. We collect sensor data from Android smartphone and key data that user enters with IME. A comparison experiment with different input postures was conducted to show the feasibility of the proposed method.

Original language	English
Title of host publication	Proceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015
Editors	Mario Koppen, Azah Kamilah Muda, Kun Ma, Bing Xue, Hideyuki Takagi, Ajith Abraham
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	294-297
Number of pages	4
ISBN (Electronic)	9781467393607
DOIs	https://doi.org/10.1109/SOCPAR.2015.7492824
Publication status	Published - 2016 Jun 15
Event	7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015 - Fukuoka, Japan Duration: 2015 Nov 13 → 2015 Nov 15

Publication series

Name	Proceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015

Other

Other	7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015
Country	Japan
City	Fukuoka
Period	15/11/13 → 15/11/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

All Science Journal Classification (ASJC) codes

Computer Vision and Pattern Recognition
Signal Processing
Control and Optimization
Modelling and Simulation

Access to Document

10.1109/SOCPAR.2015.7492824

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Jo, S. M., & Cho, S. B. (2016). Automatic generation of GUI for smartphone IME by classifying user behavior patterns. In M. Koppen, A. K. Muda, K. Ma, B. Xue, H. Takagi, & A. Abraham (Eds.), Proceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015 (pp. 294-297). [7492824] (Proceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SOCPAR.2015.7492824

Jo, Sang Muk ; Cho, Sung Bae. / Automatic generation of GUI for smartphone IME by classifying user behavior patterns. Proceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015. editor / Mario Koppen ; Azah Kamilah Muda ; Kun Ma ; Bing Xue ; Hideyuki Takagi ; Ajith Abraham. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 294-297 (Proceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015).

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abstract = "Various user's situation and small screen compared with computer keyboard influence the performance of the IME (Input Method Editor, a program that allows users to enter characters and symbols). According to the hand that a user is using, it has a significant effect on the IME input. In this paper, we propose a method based on decision tree to generate GUI automatically for the IME. We collect sensor data from Android smartphone and key data that user enters with IME. A comparison experiment with different input postures was conducted to show the feasibility of the proposed method.",

author = "Jo, {Sang Muk} and Cho, {Sung Bae}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015 ; Conference date: 13-11-2015 Through 15-11-2015",

year = "2016",

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doi = "10.1109/SOCPAR.2015.7492824",

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Jo, SM & Cho, SB 2016, Automatic generation of GUI for smartphone IME by classifying user behavior patterns. in M Koppen, AK Muda, K Ma, B Xue, H Takagi & A Abraham (eds), Proceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015., 7492824, Proceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015, Institute of Electrical and Electronics Engineers Inc., pp. 294-297, 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015, Fukuoka, Japan, 15/11/13. https://doi.org/10.1109/SOCPAR.2015.7492824

Automatic generation of GUI for smartphone IME by classifying user behavior patterns. / Jo, Sang Muk; Cho, Sung Bae.

Proceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015. ed. / Mario Koppen; Azah Kamilah Muda; Kun Ma; Bing Xue; Hideyuki Takagi; Ajith Abraham. Institute of Electrical and Electronics Engineers Inc., 2016. p. 294-297 7492824 (Proceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Jo, Sang Muk

AU - Cho, Sung Bae

PY - 2016/6/15

Y1 - 2016/6/15

N2 - Various user's situation and small screen compared with computer keyboard influence the performance of the IME (Input Method Editor, a program that allows users to enter characters and symbols). According to the hand that a user is using, it has a significant effect on the IME input. In this paper, we propose a method based on decision tree to generate GUI automatically for the IME. We collect sensor data from Android smartphone and key data that user enters with IME. A comparison experiment with different input postures was conducted to show the feasibility of the proposed method.

AB - Various user's situation and small screen compared with computer keyboard influence the performance of the IME (Input Method Editor, a program that allows users to enter characters and symbols). According to the hand that a user is using, it has a significant effect on the IME input. In this paper, we propose a method based on decision tree to generate GUI automatically for the IME. We collect sensor data from Android smartphone and key data that user enters with IME. A comparison experiment with different input postures was conducted to show the feasibility of the proposed method.

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Jo SM, Cho SB. Automatic generation of GUI for smartphone IME by classifying user behavior patterns. In Koppen M, Muda AK, Ma K, Xue B, Takagi H, Abraham A, editors, Proceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 294-297. 7492824. (Proceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015). https://doi.org/10.1109/SOCPAR.2015.7492824

Automatic generation of GUI for smartphone IME by classifying user behavior patterns

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