This paper describes a study on the organization and the exploration of heterogeneous personal data that are collected from mobile devices and web services in daily use. Although large amounts of personal data can be collected, it is not easy to find effective methods of reusing these data. With regard to collecting personal data, most lifelog research has focused on the capture of personal logs and personal data archives. Our research focuses on helping users recall and reminisce about past experiences by using an interactive system that enables them to explore personal data from several viewpoints. An organizing structure and a zooming user interface are proposed for an effective exploration of personal data. We also illustrate a digest view that includes a summary of personal data and landmarks that trigger memory recall. A prototype system is introduces for exploring a variety of personal data including photographs, Global Positioning System histories, Tweets, health data, and the number of steps walked per day.

This paper presents a study on the exploration of heterogeneous personal data that are collected from daily life. Most lifelog research has focused on the capture of personal logs and personal data archives. Although large amounts of personal data can be collected, it is not easy to find effective methods of reusing these data. Our research focuses on helping users recall and reminisce past events with an interactive system that enables them to explore personal data from several viewpoints. These viewpoints and corresponding views are described with a zooming user interface. We also illustrate a summary of personal data and landmarks that trigger memory recall. These concepts and user interfaces are implemented in a prototype system designed for exploring a variety of personal data including photographs, GPS histories, Tweets, and the number of steps people walk.

This paper introduces the adaptive information visualization method for the hypermedia and the WWW based on the user's multiple viewpoints. We propose two graphical interfaces, the CVI and the RF-Cone. The CVI is the interface for interactive viewpoint selection. We can select viewpoint reflecting our interests by using the CVI. According to the given viewpoint, the RF-Cone adaptively organizes the 3D representation of the hypermedia so that we can understand the semantic and structural relationship among the hypermedia and easily retrieve the information. Combining these methods, we have developed the WWW visualization system which can provide the highly efficient navigation.

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This paper describes aggregation and exploration of heterogeneous data collected from various information sources. We studied the organization of such data from a user's point of view. Interactive visual interfaces are essential for exploring heterogeneous data. Our current research on the exploration of data is discussed and a study of social use of heterogeneous data is explained. An early prototype system is also introduced for data collected from several Web services and mobile devices.