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![Page 1: Interactive Visualizations for Biodiversity Information Bongshin Lee Researcher Visualization and Interaction Research Group Microsoft Research Bongshin.](https://reader036.fdocuments.us/reader036/viewer/2022062721/56649f255503460f94c3be6f/html5/thumbnails/1.jpg)
Interactive Visualizations for Biodiversity InformationInteractive Visualizations for Biodiversity Information
Bongshin LeeResearcherVisualization and Interaction Research GroupMicrosoft Research
Bongshin LeeResearcherVisualization and Interaction Research GroupMicrosoft Research
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Interactive Visualizations for Biodiversity InformationInteractive Visualizations for Biodiversity Information
Bongshin LeeComputer Science DepartmentHuman-Computer Interaction LabUniversity of Maryland
Bongshin LeeComputer Science DepartmentHuman-Computer Interaction LabUniversity of Maryland
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Why Interactive Visualization?Why Interactive Visualization?
Biodiversity databases have become widely available to the public and to other researchers
Trees and graphs are commonly used information structures
Animal classification, food webs, gene ontology, …
Visual representations exploit human visual processing to reduce the cognitive load
Better interactive tools are needed for visual data exploration
Biodiversity databases have become widely available to the public and to other researchers
Trees and graphs are commonly used information structures
Animal classification, food webs, gene ontology, …
Visual representations exploit human visual processing to reduce the cognitive load
Better interactive tools are needed for visual data exploration
![Page 4: Interactive Visualizations for Biodiversity Information Bongshin Lee Researcher Visualization and Interaction Research Group Microsoft Research Bongshin.](https://reader036.fdocuments.us/reader036/viewer/2022062721/56649f255503460f94c3be6f/html5/thumbnails/4.jpg)
PaperLens
TaxonTreeNSF-funded project at UMD with- Cyndy Parr- Dana Campbell- Ben Bederson
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Biodiversity is the extraordinary variety of all life on Earth - from genes to species to entire ecosystems. -- Smithsonian Institution Monitoring and Assessment of Biodiversity Program
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ChallengeChallenge
Complex databasesOrganism names
Habitats
Interactions
Conservation status
Reproductive parameters
…
Complex databasesOrganism names
Habitats
Interactions
Conservation status
Reproductive parameters
…
Non-expert usersPolicy makers
Land-use planners
Educators
Students
Laypersons
…
Non-expert usersPolicy makers
Land-use planners
Educators
Students
Laypersons
…
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TaxonTree - Visualizing the Taxonomic HierarchyTaxonTree - Visualizing the Taxonomic Hierarchy
Hierarchy of 200,000 animal namesIntegration of public/private sources
Extension of SpaceTree [Plaisant et al., InfoVis ’02]
Interactive tree visualization
Integrated searching and browsing
Animation
Hierarchy of 200,000 animal namesIntegration of public/private sources
Extension of SpaceTree [Plaisant et al., InfoVis ’02]
Interactive tree visualization
Integrated searching and browsing
Animation
http://www.cs.umd.edu/hcil/biodiversity
B. Lee, C.S. Parr, D. Campbell, B.B. Bederson (2004) How Users Interact with Biodiversity Information Using TaxonTree Proceedings of AVI 2004, pp. 320-327
C.S. Parr, B. Lee, D. Campbell, B.B. Bederson (2004)Visualizations for Taxonomic and Phylogenetic TreesBioinformatics, Vol. 20, No. 17, pp. 2997-3004
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TaxonTree DesignTaxonTree Design
Collaborative designTarget audience
Undergraduates in biology class
Transitioning from novice to expert
Undergraduate design partners
Domain-specific visualization
Scaling up
Collaborative designTarget audience
Undergraduates in biology class
Transitioning from novice to expert
Undergraduate design partners
Domain-specific visualization
Scaling up
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TaxonTreeTaxonTree
Written in Javawith Piccolo.Java
Demo
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TaxonTree EvaluationTaxonTree Evaluation
Qualitative study with 18 biology students
GoalsCharacterize users of biodiversity domain
Investigate usability and interaction preferences
Examine information understanding
ResultsInteraction with the tree is very intuitive
Browse rather than search
Make inferences using tree structure
Interested users want more control over interaction
Qualitative study with 18 biology students
GoalsCharacterize users of biodiversity domain
Investigate usability and interaction preferences
Examine information understanding
ResultsInteraction with the tree is very intuitive
Browse rather than search
Make inferences using tree structure
Interested users want more control over interaction
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Adopting TaxonTreeAdopting TaxonTree
Deployed for the publicUniversity of Michigan’s Animal Diversity Web (ADW), http://animaldiversity.ummz.umich.edu
60,000 visits/day
Biologists love TaxonTreePhylogeny of Lepidoptera Project (LepTree), http://www.leptree.net
California Academy of Sciences’ AntWeb, http://www.antweb.org
Cyberinfrastructure for Phylogenetic Research (CIPRES), http://www.phylo.org
Science Environment for Ecological Knowledge (SEEK), http://seek.ecoinformatics.org
Deployed for the publicUniversity of Michigan’s Animal Diversity Web (ADW), http://animaldiversity.ummz.umich.edu
60,000 visits/day
Biologists love TaxonTreePhylogeny of Lepidoptera Project (LepTree), http://www.leptree.net
California Academy of Sciences’ AntWeb, http://www.antweb.org
Cyberinfrastructure for Phylogenetic Research (CIPRES), http://www.phylo.org
Science Environment for Ecological Knowledge (SEEK), http://seek.ecoinformatics.org
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DiscussionDiscussion
Interactive tree visualization can be applied to the biodiversity domain for a broad audience
Integrated searching and browsing with animation
Incremental Exploration
Interactive tree visualization can be applied to the biodiversity domain for a broad audience
Integrated searching and browsing with animation
Incremental Exploration
Beyond Hierarchies?
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PaperLens
TaxonTree
Intern project at MSR with- Mary Czerwinski, MSR- George Robertson, MSR- Ben Bederson, UMD
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MotivationMotivation
InfoVis 2004 Contest The history of InfoVis
155 papers by 315 authors for 8 years (1995~2002)
TasksCharacterize the research areas and their evolution
Where does a particular author fit within the research areas?
What are the relationships between two or more or all authors?
http:// www.cs.umd.edu/hcil/iv04contest
InfoVis 2004 Contest The history of InfoVis
155 papers by 315 authors for 8 years (1995~2002)
TasksCharacterize the research areas and their evolution
Where does a particular author fit within the research areas?
What are the relationships between two or more or all authors?
http:// www.cs.umd.edu/hcil/iv04contest
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PaperLens - Non Node-link Graph VisualizationPaperLens - Non Node-link Graph Visualization
Multiple small and simple components
Abstract overview of data
Show relationships dynamically
Two design iterations: InfoVis and CHI
Multiple small and simple components
Abstract overview of data
Show relationships dynamically
Two design iterations: InfoVis and CHI
Intern Project at Microsoft Research
http://www.cs.umd.edu/hcil/paperlens
Winner of InfoVis 2004 Contest
B. Lee, M. Czerwinski, G. Robertson, B.B. Bederson (2005) Understanding Research Trends in Conferences using PaperLensExtended Abstracts of CHI 2005, pp. 1069-1072
B. Lee, M. Czerwinski, G. Robertson, B.B. Bederson (2004) Understanding Eight Years of InfoVis Conferences using PaperLensPosters Compendium of InfoVis 2004, pp. 53-54
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PaperLens - CHIPaperLens - CHI
Written in C#with Piccolo.NET
• 23 years (1982-2004)• 4073 papers• 6300 authors• 15 topics
Demo
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PaperLens EvaluationPaperLens Evaluation
Qualitative study with the InfoVis dataset
8 researchers (including 1 pilot subject)
16 tasks
ResultsMost tasks were performed in less than 20 seconds
Usability IssuesAuthor search
Consistency
Screen usage
Qualitative study with the InfoVis dataset
8 researchers (including 1 pilot subject)
16 tasks
ResultsMost tasks were performed in less than 20 seconds
Usability IssuesAuthor search
Consistency
Screen usage
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EcoLens -- Visualizing food websEcoLens -- Visualizing food webs
Project at UMD with- Cyndy Parr- Ben Bederson
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NetLens: Extension of PaperLensGeneral: “Content-Actor” data model
Scalable: Relational database, simple components
Implemented by Hyunmo Kang (HCIL, UMD)
Node-link graph visualization has its placeIntegrate it with EcoLens/NetLens
NetLens: Extension of PaperLensGeneral: “Content-Actor” data model
Scalable: Relational database, simple components
Implemented by Hyunmo Kang (HCIL, UMD)
Node-link graph visualization has its placeIntegrate it with EcoLens/NetLens
DiscussionDiscussion
H. Kang, C. Plaisant, B. Lee, B.B. Bederson (2006) NetLens: Iterative Exploration of Content-Actor Network DataTo appear in Proceedings of VAST 2006, invited to Information Visualization Journal
H. Kang, C. Plaisant, B. Lee, B.B. Bederson (2006) Exploring Content-Actor Paired Network Data using Iterative Query Refinement with NetLensProceedings of JCDL 2006, pp. 372 (Demo)
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ConclusionsConclusions
Interactive visualization helps data exploration and understanding
TaxonTreeposes little difficulty even for novice users
can be applied to other taxonomies
PaperLens novel alternative to common node-link graph visualizations
its concept can be applied to biodiversity domain
Interactive visualization helps data exploration and understanding
TaxonTreeposes little difficulty even for novice users
can be applied to other taxonomies
PaperLens novel alternative to common node-link graph visualizations
its concept can be applied to biodiversity domain
For more information• http://www.cs.umd.edu/hcil/biodiversity• http://www.cs.umd.edu/hcil/graphvis
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© 2006 Microsoft Corporation. All rights reserved.Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries.The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation.Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft,and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation.MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.
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