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

Sang Muk Jo, Sung-Bae Cho

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publicationProceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015
EditorsMario Koppen, Azah Kamilah Muda, Kun Ma, Bing Xue, Hideyuki Takagi, Ajith Abraham
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages294-297
Number of pages4
ISBN (Electronic)9781467393607
DOIs
Publication statusPublished - 2016 Jun 15
Event7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015 - Fukuoka, Japan
Duration: 2015 Nov 132015 Nov 15

Publication series

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

Other

Other7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015
CountryJapan
CityFukuoka
Period15/11/1315/11/15

Fingerprint

Computer keyboards
Smartphones
User Behavior
Graphical user interfaces
Decision trees
Sensors
Experiments
Decision tree
Sensor
Android (operating system)
Experiment

All Science Journal Classification (ASJC) codes

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

Cite this

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.",
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Jo, SM & Cho, S-B 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 proceedingConference contribution

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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 S-B. 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