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.
|Title of host publication||Hybrid Artificial Intelligent Systems - 11th International Conference, HAIS 2016, Proceedings|
|Editors||Francisco Martinez-Alvarez, Alicia Troncoso, Hector Quintian, Emilio Corchado|
|Number of pages||11|
|Publication status||Published - 2016|
|Event||11th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2016 - Seville, Spain|
Duration: 2016 Apr 8 → 2016 Apr 20
|Name||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Other||11th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2016|
|Period||16/4/8 → 16/4/20|
Bibliographical noteFunding Information:
This work was supported by LG Electronics, Inc.
© Springer International Publishing Switzerland 2016.
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)