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Visualization and Interactive Systems Lab
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An information visualization lab that represents data visually to make it easier to understand.
AboutAbout the lab
A picture is worth a thousand words: understanding data through visualization.
The Visualization and Interactive Systems Lab studies, with information visualization as its central theme, methods for representing data visually to make it easier to understand.
The lab works on designing visual representations of information, developing techniques for rendering them, applying visualization technology, and investigating human visual characteristics.
The lab's website presents visualization as one effective means of understanding data.
Key terms
- Information visualization
- Technology that converts data into visual representations to make its content easier to understand
- Multivariate data
- Data in which each record has values for multiple attributes. It is analyzed by comparing the relationships among the attributes
- Box plot
- A graph that represents the distribution of data with boxes and lines. It is widely used to show statistics
ResearchResearch themes
To make effective use of huge amounts of data, it is first necessary to understand that data. Through designing visual representations of information and developing rendering techniques, the lab develops visualization technology for understanding data by looking at it. The description on the lab's website dates from around 2015.
*Illustrative imageViewing movement data grouped by direction
Drawing large-scale movement data on a map causes visual clutter. The lab developed a method that groups the data by direction of movement and overlays the distribution of distances and the number of objects on the map.
Representations for comparing multivariate data
The lab developed a representation that lets users compare multivariate data at a glance. It combines box plots and stacked bar charts on parallel coordinate axes, and uses shading to enable comparison from multiple perspectives.
*Illustrative imageA diagram for getting an overview of high-dimensional data
To get an overview of high-dimensional data on a limited screen, the lab developed the Colored Mosaic Matrix. Diagrams with carefully designed colors are arranged in a matrix, and the features of the data can be read from the colors.
*Illustrative imageA tool for analyzing how trends develop
Using a technique that visualizes rank and quantity changing over time, the lab developed a tool for analyzing how trends begin and continue. The width and position of rectangles show the changes in rank and quantity at the same time.
MembersFaculty
The members of the Visualization and Interactive Systems Lab are professors and other faculty, and doctoral, master's, and undergraduate students.
- ProfessorKazuo Misue
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Visualization of the world wide web common crawl 2012” Sebastian Schelter / CC BY-SA 3.0 (cropped)
- Viewing movement data grouped by direction: “26035 Map-of-Ingenuitys-Ninth-Flight-Path” NASA/JPL / Public domain (cropped)
- A diagram for getting an overview of high-dimensional data: “Spire 24h AIS Archive over Gulf of Oman” Quentin Gollier / CC BY-SA 4.0 (cropped)
- A tool for analyzing how trends develop: “People in Shibuya, Tokyo; February 2020 (01)” nakashi / CC BY-SA 2.0 (cropped)
- Related lab (Computer Vision Lab): “Nikon 1 mount” Ivan Radic / CC BY 2.0 (cropped)
- Related lab (Cognitive Systems Design Lab): “Tesla Autopilot Engaged in Model X” Ian Maddox / CC BY-SA 4.0 (cropped)
- Related lab (Eureka! Design Lab): “Waymo self-driving car side view.gk” Grendelkhan / CC BY-SA 4.0 (cropped)
- Related lab (Field Robotics Lab): “CAT Heavy Equipment” Glassandsteel / CC0 (cropped)
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