Abstract
In this paper, we share our experience of developing a personal informatics framework for Android based smartphones that leverages mobile sensing for capturing and visualizing individual's performance and well-being with the aim of promoting awareness, self-reflection and self-optimization among-st users. We first describe an application that integrates different hardware and software sensors in smartphones to collect sensorial and contextual information. Then, we develop lightweight, interactive visualizations that effectively summarize quantitative data related to users' behavior patterns and routines, thus, facilitating them in self-monitoring and reflection-after-action process. As a final step we deliver personalized feedback and behavior change interventions for promoting positive behavior changes amongst the users. We also discuss some important results attained from a pilot case study that leverages a prototype of this system for validating and analyzing the results.
Original language | English |
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Title of host publication | Proceedings - 2016 IEEE 14th International Conference on Dependable, Autonomic and Secure Computing, DASC 2016, 2016 IEEE 14th International Conference on Pervasive Intelligence and Computing, PICom 2016, 2016 IEEE 2nd International Conference on Big Data Intelligence and Computing, DataCom 2016 and 2016 IEEE Cyber Science and Technology Congress, CyberSciTech 2016, DASC-PICom-DataCom-CyberSciTech 2016 |
Editors | Kevin I-Kai Wang, Qun Jin, Md Zakirul Alam Bhuiyan, Qingchen Zhang, Ching-Hsien Hsu |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 467-474 |
Number of pages | 8 |
ISBN (Electronic) | 9781509040650 |
DOIs | |
Publication status | Published - 11 Oct 2016 |
Event | 14th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2016, 14th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2016, 2nd IEEE International Conference on Big Data Intelligence and Computing, DataCom 2016 and 2016 IEEE Cyber Science and Technology Congress, CyberSciTech 2016, DASC-PICom-DataCom-CyberSciTech 2016 - Auckland, New Zealand Duration: 8 Aug 2016 → 10 Aug 2016 |
Publication series
Name | Proceedings - 2016 IEEE 14th International Conference on Dependable, Autonomic and Secure Computing, DASC 2016, 2016 IEEE 14th International Conference on Pervasive Intelligence and Computing, PICom 2016, 2016 IEEE 2nd International Conference on Big Data Intelligence and Computing, DataCom 2016 and 2016 IEEE Cyber Science and Technology Congress, CyberSciTech 2016, DASC-PICom-DataCom-CyberSciTech 2016 |
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Conference
Conference | 14th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2016, 14th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2016, 2nd IEEE International Conference on Big Data Intelligence and Computing, DataCom 2016 and 2016 IEEE Cyber Science and Technology Congress, CyberSciTech 2016, DASC-PICom-DataCom-CyberSciTech 2016 |
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Country/Territory | New Zealand |
City | Auckland |
Period | 8/08/16 → 10/08/16 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.
Keywords
- behavior change interventions
- mobile sensing
- pattern discovery
- self-reflection
- visual analytics
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Information Systems
- Computer Science (miscellaneous)
- Artificial Intelligence
- Computer Networks and Communications