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

Sang Muk Jo, Sung Bae Cho

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publicationHybrid Artificial Intelligent Systems - 11th International Conference, HAIS 2016, Proceedings
EditorsFrancisco Martinez-Alvarez, Alicia Troncoso, Hector Quintian, Emilio Corchado
PublisherSpringer Verlag
Pages91-101
Number of pages11
ISBN (Print)9783319320335
DOIs
Publication statusPublished - 2016 Jan 1
Event11th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2016 - Seville, Spain
Duration: 2016 Apr 82016 Apr 20

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9648
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other11th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2016
CountrySpain
CitySeville
Period16/4/816/4/20

Fingerprint

Rule-based Systems
Random Forest
Smartphones
Knowledge based systems
Context-aware
Datalog
User Behavior
Generator
Graphical user interfaces
Display
Display devices
User Satisfaction
User Preferences
Decision trees
Hybrid systems
Hybrid Systems
Decision tree
Ensemble
Hardware
Predict

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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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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.",
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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 proceedingConference contribution

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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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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)). https://doi.org/10.1007/978-3-319-32034-2_8