Cyber-Enabled Well-Being Oriented Daily Living Support Based on Personal Data Analysis

Seiji Kasuya, Xiaokang Zhou, Kiichi Tago, Shoji Nishimura, Qun Jin

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

We are living in a cyber-physical-social environment with a variety of lifestyles and values. Living support has become important in such a diverse society. Owing to the ability to collect a large amount of personal data or life logs in the cyber-physical-social environment, it is now possible for us to provide living support based on personal data analysis. Moreover, analyzing such data can facilitate a deep understanding of an individual. In this study, we focus on the provision of cyber-enabled well-being oriented daily living support for an individual based on personal data analysis. Three categories of personal data are identified from an individual's daily life data. In this paper, we discuss the basic concept, model, and framework for well-being oriented personal data analysis in order to offer suggestions and advices to improve the living quality of an individual. Finally, we report a feasibility study with an application scenario by using personal and environmental data.

Original languageEnglish
Article number8070361
Pages (from-to)493-502
Number of pages10
JournalIEEE Transactions on Emerging Topics in Computing
Volume8
Issue number2
DOIs
Publication statusPublished - 2020 Apr 1

Keywords

  • Personal data analytics
  • cyber-enabled application
  • data-driven behavior analysis
  • well-being oriented living support

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Information Systems
  • Human-Computer Interaction
  • Computer Science Applications

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