Ben Shneiderman: Thrill of Discovery

The Thrill of Discovery: Information Visualization for High Dimensional Spaces Ben Shneiderman [email_address] Founding Director (1983-2000), Human-Computer Interaction Lab Professor, Department of Computer Science Member, Institute for Advanced Computer Studies University of Maryland College Park, MD 20742

Interdisciplinary research community - Computer Science & Info Studies - Psych, Socio, Poli Sci & MITH (www.cs.umd.edu/hcil)

Scientific Approach (beyond user friendly) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Design Issues ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],www.awl.com/DTUI

U.S. Library of Congress ,[object Object],[object Object]

Visible Human Explorer (NLM) ,[object Object],[object Object],[object Object],[object Object]

NASA Environmental Data ,[object Object],[object Object],[object Object],[object Object]

Bureau of the Census ,[object Object],[object Object]

NSF Digital Government Initiative ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],www.ils.unc.edu/govstat/

International Children’s Digital Library www.childrenslibrary.org

Piccolo: Toolkit for 2D zoomable objects ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],AppLens & Launch Tile UMD, Microsoft Research DateLens Windsor Interfaces, Inc. Cytoscape Institute for Systems Biology Memorial Sloan-Kettering Institut Pasteur UCSD TreePlus UMD

Information Visualization ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Using Vision to Think ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Spotfire: Retinol’s role in embryos & vision

Information Visualization: Mantra ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Information Visualization: Data Types ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],(Online Library of Information Visualization Environments) otal.umd.edu/Olive InfoViz SciViz .

ManyEyes: A web sharing platform http://services.alphaworks.ibm.com/manyeyes/app

Treemap: view large trees with node values ,[object Object],[object Object],[object Object],[object Object],[object Object],(Shneiderman, ACM Trans. on Graphics , 1992 & 2003) TreeViz (Mac, Johnson, 1992) NBA-Tree(Sun, Turo, 1993) Winsurfer (Teittinen, 1996) Diskmapper (Windows, Micrologic) SequoiaView, Panopticon, HiveGroup, Solvern Treemap4 (UMd, 2004)

Treemap: Stock market, clustered by industry

www.hivegroup.com Treemap: Newsmap

Treemap: Gene Ontology http://www.cs.umd.edu/hcil/treemap/

www.hivegroup.com Treemap: Product catalogs

LifeLines: Customer Histories ,[object Object],[object Object],[object Object],[object Object]

Temporal Data: TimeSearcher 1.3 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Temporal Data: TimeSearcher 2.0 ,[object Object],[object Object],[object Object]

Goal: Find Features in Multi-Var Data ,[object Object],[object Object],[object Object],[object Object],[object Object]

Multi-V: Hierarchical Clustering Explorer www.cs.umd.edu/hcil/hce/ “ HCE enabled us to find important clusters that we didn’t know about.” - a user

Do you see anything interesting?

Demonstration ,[object Object],[object Object],[object Object],Demo

Rank-by-Feature Framework: 1D Ranking Criterion Rank-by-Feature Prism Score List Manual Projection Browser

Rank-by-Feature Framework: 2D Ranking Criterion Rank-by-Feature Prism Score List Manual Projection Browser

Ranking Criterion: Pearson correlation (0.996, 0.31, 0.01, -0.69) Ranking Criterion: Uniformity (entropy) (6.7, 6.1, 4.5, 1.5) A Ranking Example 3138 U.S. counties with 17 attributes

HCE Status ,[object Object],[object Object],[object Object],[object Object],[object Object]

Evaluation Methods ,[object Object],[object Object],[object Object],[object Object],[object Object]

Evaluation Methods ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Science 2.0 Evaluation Methods ,[object Object],[object Object],[object Object],[object Object],[object Object],MILCs Shneiderman & Plaisant, BeLIV workshop , 2006

MILC example ,[object Object],[object Object],[object Object],[object Object],[object Object],Seo & Shneiderman, IEEE TVCG 12,3, 2006

MILC example ,[object Object],[object Object],[object Object],[object Object],Perer & Shneiderman, 2007

Case Study Methodology ,[object Object],[object Object],[object Object],[object Object],[object Object]

Network Data ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Network Data ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Take Away Message ,[object Object],[object Object],[object Object],[object Object],[object Object]

25 th Annual Symposium May 30, 2008 www.cs.umd.edu/hcil

6 th Creativity & Cognition Conference ,[object Object],[object Object],[object Object],[object Object],[object Object],www.cs.umd.edu/hcil/CC2007 http://www.cs.umd.edu/hcil/CC2007/

Information Visualization: Tasks ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Goal: Find Features in Multi-D Data ,[object Object],[object Object],[object Object],[object Object]

Ben Shneiderman: Thrill of Discovery

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