Notes
Slide Show
Outline
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The Future of
Information Discovery



Ben Shneiderman  ben@cs.umd.edu

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
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2:00pm - 3:30pm:  Plenary Session:
The Future of Information Discovery

Ben Shneiderman, Professor, Computer Science and
    Founding Director of the Human-Computer Interaction Laboratory,
    University of Maryland


Randy Marcinko, President and CEO, Groxis
    Visualizing Search Results from Multiple Databases

Susan Dumais, Senior Researcher, Microsoft Researcher
    Search and Context
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Discovery Process: Task Analysis
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Discovery Process: Task Analysis
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Discovery Process: Task Analysis
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Discovery Process: Task Analysis
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Discovery Process: Task Analysis
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Discovery Process: Design Challenges
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Discovery Process: Design Challenges
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Discovery Process: Design Possibilities
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Discovery Process: Design Possibilities
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Discovery Process: Design Possibilities
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Discovery Process: Design Possibilities
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Discovery Process: Design Possibilities
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Discovery Process: Design Possibilities
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Collaboration: Tagging & voting
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Treemap: Stock market, clustered by industry
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Market falls steeply Feb 27, 2007, with one exception
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Market falls 311 points July 26, 2007, with a few exceptions
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Market mixed, February 8, 2008
Energy & Technology up, Financial & Health Care down
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Market rises 319 points, November 13, 2007,
with 5 exceptions
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PhotoMesa: Zooming Exploration
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Discovery Process: Strategies
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Vivisimo & Exalead: Dynamic overviews
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SERVICE: Categorized Overviews
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Grokker: Overviews & Maps
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Discovery Process: Combinformation
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Discovery Process: Combinformation
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Network Data
  • Nodes & Links
    • Relationships & communication
    • Scientific/legal citations
  • Difficult to complete tasks
    • Occlusion
    • Complexity
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Network Visualization with Semantic Substrates
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 NVSS: Citation Historiographs
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Discovery Process: Design Possibilities
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Research Methods
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Research Methods
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Science 1.0         +     Science 2.0
  • Reductionist       à       Integrated
  • Controlled       à Case
       Experiments    Studies
  • Replicability       à Validity
  • Laboratory       à Situated
  • Natural World     à       Made World




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Science 1.0         +     Science 2.0
  • Reductionist       à       Integrated
  • Controlled       à Case
       Experiments    Studies
  • Replicability       à Validity
  • Laboratory       à Situated
  • Natural World     à Made World


  •                  Hypothesis Testing
  •                  Predictive Theories
  •                       Replications
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2:00pm - 3:30pm:  Plenary Session: The Future of Information Discovery
User expectations are shaping the future of information discovery.  And effective search strategies for Web-oriented databases and massive cloud computing resources have raised their expectations regarding the remarkable opportunities in exploratory search that can lead to productive discoveries. Collaborative searching techniques combined with social networking have the potential to harness collective intelligence so that domain experts and novices alike can make important discoveries across integrated databases. Designers of creativity support tools (demonstrations will be presented) are applying advanced visualizations in innovative ways to provide visual overviews with interactive tools that enable systematic yet flexible exploration. The best is yet to come!

Speakers:
Dr. Ben Shneiderman, Professor, Computer Science and Founding Director of the Human-Computer Interaction Laboratory, University of Maryland

Title: The Future of Information Discovery

Abstract: Effective search strategies for Web sites and databases have raised user expectations, but there are still great opportunities in supporting exploratory search that leads to productive discoveries. Collaborative searching techniques combined with social networking have the potential to harness collective intelligence so that domain experts and novices can make important discoveries. Designers of creativity support tools are applying advanced visualizations in innovative ways to provide overviews with tools that enable systematic yet flexible exploration. The best is yet to come.

Randy Marcinko, President and CEO, Groxis

Title: Visualizing Search Results from Multiple Databases

Abstract: The presentation of search results is still almost exclusively a list, sometimes ranked by parameters such as relevance or date. Knowing that most end-users rarely surf beyond the first or second screen, a very small percentage or search results are ever seen or even considered by the end-user. Visualization, textually or graphically, is a viable solution to this problem, offering the end-user greater power to select those results that are most useful. Visualization also gives the content creator greater assurance that their work will be given a fair chance to be viewed. When searching on federated sources, it is even more important to put control of what is seen in the hands of the end-user. This talk will address the visualization of federated search results and include meaningful demos. The concept of visualization as an alternative to keyword search will be raised.

Susan Dumais, Senior Researcher, Microsoft Researcher

Title: Search and Context

Abstract: Today most search systems treat queries in isolation, without regard to searchers previous queries and interactions. Context is a key to improving search by understanding searchers interests, the rich interrelationships among objects, and the larger task environments in which information needs arise. Understanding and incorporating these contextual variables into search algorithms and interfaces will dramatically change the information landscape in the next decade. Demos of systems that support rich metadata and tagging (Phlat) and personalization (PSearch) will be shown.
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World-Wide Web links
  • Developed & tested embedded menus (1983) that became “hot spots” (Berners-Lee, 1989)
  • First electronic book (1989):
      Hypertext-Hands On


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Hypertext on Hypertext – CACM July’88