A context-aware keyboard generator for smartphone using random forest and rule-based system

Sang Muk Jo; Sung Bae Cho

doi:10.1007/978-3-319-32034-2_8

A context-aware keyboard generator for smartphone using random forest and rule-based system

Sang Muk Jo, Sung Bae Cho

College of Computing

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

1 Citation (Scopus)

Abstract

A soft keyboard is popular for inputting texts on the display of smartphone. As it is a keyboard in display, it has an advantage that can be easily changed unlike the hardware keyboard. An adaptive soft keyboard is needed as different types of people use smartphone in various situations. In this paper, we propose a hybrid system that predicts user behavior patterns using smartphone sensor log data based on random forest and generates the appropriate GUI to the predicted behavior patterns by the rules constructed from users’ preference. The random forest for predicting user behavior patterns has a high generalization performance due to the ensemble of various decision trees. The GUI mapping rules are constructed according to the data collected from 210 users of different ages and genders. Experimental results with the real log data confirm that the proposed system effectively recognizes the situations and the user satisfaction is doubled compared to the conventional methods.

Original language	English
Title of host publication	Hybrid Artificial Intelligent Systems - 11th International Conference, HAIS 2016, Proceedings
Editors	Francisco Martinez-Alvarez, Alicia Troncoso, Hector Quintian, Emilio Corchado
Publisher	Springer Verlag
Pages	91-101
Number of pages	11
ISBN (Print)	9783319320335
DOIs	https://doi.org/10.1007/978-3-319-32034-2_8
Publication status	Published - 2016
Event	11th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2016 - Seville, Spain Duration: 2016 Apr 8 → 2016 Apr 20

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9648
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	11th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2016
Country/Territory	Spain
City	Seville
Period	16/4/8 → 16/4/20

Bibliographical note

Funding Information:
This work was supported by LG Electronics, Inc.

Publisher Copyright:
© Springer International Publishing Switzerland 2016.

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-319-32034-2_8

Cite this

Jo, S. M., & Cho, S. B. (2016). A context-aware keyboard generator for smartphone using random forest and rule-based system. In F. Martinez-Alvarez, A. Troncoso, H. Quintian, & E. Corchado (Eds.), Hybrid Artificial Intelligent Systems - 11th International Conference, HAIS 2016, Proceedings (pp. 91-101). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9648). Springer Verlag. https://doi.org/10.1007/978-3-319-32034-2_8

Jo, Sang Muk ; Cho, Sung Bae. / A context-aware keyboard generator for smartphone using random forest and rule-based system. Hybrid Artificial Intelligent Systems - 11th International Conference, HAIS 2016, Proceedings. editor / Francisco Martinez-Alvarez ; Alicia Troncoso ; Hector Quintian ; Emilio Corchado. Springer Verlag, 2016. pp. 91-101 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "A context-aware keyboard generator for smartphone using random forest and rule-based system",

abstract = "A soft keyboard is popular for inputting texts on the display of smartphone. As it is a keyboard in display, it has an advantage that can be easily changed unlike the hardware keyboard. An adaptive soft keyboard is needed as different types of people use smartphone in various situations. In this paper, we propose a hybrid system that predicts user behavior patterns using smartphone sensor log data based on random forest and generates the appropriate GUI to the predicted behavior patterns by the rules constructed from users{\textquoteright} preference. The random forest for predicting user behavior patterns has a high generalization performance due to the ensemble of various decision trees. The GUI mapping rules are constructed according to the data collected from 210 users of different ages and genders. Experimental results with the real log data confirm that the proposed system effectively recognizes the situations and the user satisfaction is doubled compared to the conventional methods.",

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

note = "Funding Information: This work was supported by LG Electronics, Inc. Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 11th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2016 ; Conference date: 08-04-2016 Through 20-04-2016",

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Jo, SM & Cho, SB 2016, A context-aware keyboard generator for smartphone using random forest and rule-based system. in F Martinez-Alvarez, A Troncoso, H Quintian & E Corchado (eds), Hybrid Artificial Intelligent Systems - 11th International Conference, HAIS 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9648, Springer Verlag, pp. 91-101, 11th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2016, Seville, Spain, 16/4/8. https://doi.org/10.1007/978-3-319-32034-2_8

A context-aware keyboard generator for smartphone using random forest and rule-based system. / Jo, Sang Muk; Cho, Sung Bae.

Hybrid Artificial Intelligent Systems - 11th International Conference, HAIS 2016, Proceedings. ed. / Francisco Martinez-Alvarez; Alicia Troncoso; Hector Quintian; Emilio Corchado. Springer Verlag, 2016. p. 91-101 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9648).

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

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AU - Jo, Sang Muk

AU - Cho, Sung Bae

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PY - 2016

Y1 - 2016

N2 - A soft keyboard is popular for inputting texts on the display of smartphone. As it is a keyboard in display, it has an advantage that can be easily changed unlike the hardware keyboard. An adaptive soft keyboard is needed as different types of people use smartphone in various situations. In this paper, we propose a hybrid system that predicts user behavior patterns using smartphone sensor log data based on random forest and generates the appropriate GUI to the predicted behavior patterns by the rules constructed from users’ preference. The random forest for predicting user behavior patterns has a high generalization performance due to the ensemble of various decision trees. The GUI mapping rules are constructed according to the data collected from 210 users of different ages and genders. Experimental results with the real log data confirm that the proposed system effectively recognizes the situations and the user satisfaction is doubled compared to the conventional methods.

AB - A soft keyboard is popular for inputting texts on the display of smartphone. As it is a keyboard in display, it has an advantage that can be easily changed unlike the hardware keyboard. An adaptive soft keyboard is needed as different types of people use smartphone in various situations. In this paper, we propose a hybrid system that predicts user behavior patterns using smartphone sensor log data based on random forest and generates the appropriate GUI to the predicted behavior patterns by the rules constructed from users’ preference. The random forest for predicting user behavior patterns has a high generalization performance due to the ensemble of various decision trees. The GUI mapping rules are constructed according to the data collected from 210 users of different ages and genders. Experimental results with the real log data confirm that the proposed system effectively recognizes the situations and the user satisfaction is doubled compared to the conventional methods.

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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ER -

Jo SM, Cho SB. A context-aware keyboard generator for smartphone using random forest and rule-based system. In Martinez-Alvarez F, Troncoso A, Quintian H, Corchado E, editors, Hybrid Artificial Intelligent Systems - 11th International Conference, HAIS 2016, Proceedings. Springer Verlag. 2016. p. 91-101. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-32034-2_8

A context-aware keyboard generator for smartphone using random forest and rule-based system

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