Showing papers by "Kazuo Misue published in 2012"

ChronoView: Visualization Technique for Many Temporal Data

Abstract: This paper presents a method of visualizing data that contains temporal information, such as a human's behavior and the time at which it occurs. A feature of the data is that each event may have one or more time-stamps. By analyzing this kind of data, we are able to find some behavioral patterns and obtain knowledge applicable to many fields, such as marketing research and security. We develop ChronoView, a visualization technique to support the analysis of data with temporal information. ChronoView represents an event with a set of time-stamps as a position inside a circle, similar to the dial of an analog clock. By representing each event as a position on a two-dimensional plane, we can simultaneously visualize many events and easily compare their occurrence patterns. We implement a tool based on ChronoView, which is enriched with additional functions and overcomes the drawbacks of the original system. A use case involving tweet data from Twitter illustrates the use and practicality of ChronoView.

Edge Equalized Treemaps

Abstract: Treemap is a visualization method for hierarchical structures in which nodes are drawn as rectangles and arranged in a nested style. Several variations of Treemap have been developed to represent different types of data. In this paper, we propose an Edge Equalized Treemap, a representation that embeds visual data such as a bar chart in leaf rectangles. This representation is characterized by leaf rectangles of equal widths. Because their widths are equal, the scale intervals of charts in a leaf rectangle can be unified, meaning that we can compare charts simply by looking at them. We compare the Edge Equalized Treemap with existing layout methods, and demonstrate the usefulness of our approach.

Panoramic View for Visual Analysis of Large-Scale Activity Data

Abstract: Understanding the activities in large-scale organizations such as big companies is very important. A challenge in the information visualization field is how to combine a representation of the global structure of an organization with representations of each activity. We developed a representation technique to provide a panoramic view of such activities. The representation embeds charts expressing activities into cells of a treemap. By using this representation, both quantitative and temporal aspects of activities can be seen simultaneously. We also developed an analysis tool called “Series at a Glance,” which provides functions to manipulate the representation. The tool helps in the analysis of tens of thousands of activities by providing useful visual information.

Irregular Trend Finder: Visualization tool for analyzing time-series big data

Abstract: We created a visualization tool called Irregular Trend Finder (ITF) for the VAST Challenge 2012 Mini Challenge 1. ITF is an interactive tool designed for analyzing large amounts of data with times-tamp and hierarchy structure in mind, so that a user can see the overview first, and then obtain more detailed information. We discovered the answers for the Challenge, and confirmed that overview first and then looking in detail is an efficient method to seek particular information in case of large amounts of data.

A potential exploration of finger-specific interaction

Abstract: We propose Finger-Specific Interaction (FSI) as a potential interaction technique for interactive surfaces. FSI treats each finger as completely independent, as one input primitive. This paper discusses the advantages and drawbacks of adopting FSI for use on interactive surfaces. The advantages include an increase of input primitives, enabling eyes-free interaction and the ability to differentiate between users. The drawbacks include the need for users to memorize the variety of operations for input assignments. We devised solutions to solve the drawbacks, and then developed some applications using them. We also developed other applications that utilize the compatibility with mobile devices.