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.

中文翻译：

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基于个人数据分析的以网络为导向的以幸福为导向的日常生活支持

我们生活在一个具有多种生活方式和价值观的网络-物理-社会环境中。在这样一个多元化的社会中，生活支持变得很重要。由于能够在网络-物理-社会环境中收集大量个人数据或生活日志，现在我们可以基于个人数据分析提供生活支持。此外，分析此类数据可以促进对个人的深入了解。在这项研究中，我们专注于基于个人数据分析为个人提供基于网络的幸福导向的日常生活支持。从个人的日常生活数据中识别出三类个人数据。在本文中，我们讨论了基本概念、模型、和以幸福为导向的个人数据分析框架，以提供建议和建议，以提高个人的生活质量。最后，我们使用个人和环境数据报告了具有应用场景的可行性研究。