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Seminario de Tecnologías de Información Emergentes Agosto-Diciembre, 2007

Seminario de Tecnologías de Información Emergentes Agosto-Diciembre, 2007. Sesión # 5. The Information Search Process. Recognize an information need Define and understand needs Choose a search system Formulate a query Execute search Examine results Extract information

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Seminario de Tecnologías de Información Emergentes Agosto-Diciembre, 2007

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  1. Seminario de Tecnologías de Información EmergentesAgosto-Diciembre, 2007 Sesión # 5

  2. The Information Search Process • Recognize an information need • Define and understand needs • Choose a search system • Formulate a query • Execute search • Examine results • Extract information • Reflect / Iterate / Stop (Marchionini, 1997)

  3. Information Retrieval Process • Recognize an information need • Define and understand needs • Choose a search system • Formulate a query • Execute search • Examine results • Extract information • Reflect / Iterate / Stop (Marchionini, 1997)

  4. Information Visualization (InfoVis) • Recognize an information need • Define and understand needs • Choose a search system • Formulate a query • Execute search • Examine results • Extract information • Reflect / Iterate / Stop (Marchionini, 1997)

  5. Definitions Scientific visualization: • Involves continuous variables, volumes, and surfaces Information visualization: • Involves more categorical variables, and the discovery of patterns, trends, clusters, outliers, and gaps in large data sets. (Shneiderman & Plaisant, 2005)

  6. Definitions Information visualization: • Involves compact graphical presentations and user interfaces to interactively manipulate large data sets • Allows users asnwers questions they did not they had • Also know as visual data mining (Shneiderman & Plaisant, 2005)

  7. Definitions Information visualization assumes that: • Users scan, recognize, and recall images rapidly • Users can detect subtle changes in size, color, shape, movement or texture (Shneiderman & Plaisant, 2005)

  8. InfoVis Main Tasks • Overview • Zoom • Filter • Details on demand • Relate • History • Extract (Shneiderman & Plaisant, 2005)

  9. InfoVis Main Tasks Overview • Users should be able to obtain a general view of the entire collection Features: • Fisheye view • Dynamic filed-of-view box (Shneiderman & Plaisant, 2005)

  10. InfoVis Main Tasks Zoom • Users should be able to look at details of items of interest Features: • Zoom focus (content, context) • Zoom factor (position, shape) (Shneiderman & Plaisant, 2005)

  11. InfoVis Main Tasks Filter • Users should be able to filter items of interest. Features: • Eliminating unwanted items • Sliders, bottons, menus (Shneiderman & Plaisant, 2005)

  12. InfoVis Main Tasks Provide details on demand • Users should be able to get details from an item or group of items of interest Features: • Browsing, pop-up windows (Shneiderman & Plaisant, 2005)

  13. InfoVis Main Tasks Relate • Users should be able to relate items or groups within the collection Features: • Visual displays by proximity, by shape, or by color coding (Shneiderman & Plaisant, 2005)

  14. InfoVis Main Tasks History • Users should be able to keep a history of actions to support undo, replay, and progressive refinement Features: • Search terms • Search sequences (Shneiderman & Plaisant, 2005)

  15. InfoVis Main Tasks Extract • Users should be able to extract, manipulate and save the item or set of items obtained from the collection Features: • MyDocument Folders • E-mail (Shneiderman & Plaisant, 2005)

  16. InfoVis Demos • TextArc http://textarc.org/ • Chat circles http://alumni.media.mit.edu/~fviegas/projects/chatcircles/index.htm

  17. InfoVis Demos • Exploring enron http://jheer.org/enron/ • eArchivarius http://www.isi.edu/news/print.php?story=56

  18. InfoVis Demos • PhotoMesa http://www.cs.umd.edu/hcil/photomesa/ • ICDL http://www.icdlbooks.org/

  19. InfoVis Applications • Sentiment analysis softwarehttp://www.corporasoftware.com/products/sentiment.aspx • Blog analysis softwarehttp://www.umbrialistens.com/products/technology.php

  20. InfoVis Applications • Visualization methods & approaches http://www.visual-literacy.org/periodic_table/periodic_table.html • Visual Information Retrieval Interfaces http://www.hipertext.net/english/pag1007.htm

  21. Visual IR Interfaces • Collection (overview) • Self-organizing maps (related terms) • VxInsight (islands) • Cat-a-cone (hierarchical categories) • BEAD (3D documents) • SPIRE (stars or landscapes) • JAIR (conceptual maps) • NIRVE (clustering) • PRISE (clustering) • Perspective Wall (2D, 3 views) • VIBE (search state, 2D & 3D)

  22. Visual IR Interfaces • Collection (overview) • Document attributes • TileBars • E-Archivarius • Chat circles • Other?

  23. Top InfoVis Research Issues • Importing data • Combining visual representations with textual levels • Looking at related information • Viewing large data sets • Integrating data mining • Collaboration among users • Universal usability (Shneiderman & Plaisant, 2005)

  24. Top InfoVis Research Issues • Personal information collections • Abstract information spaces • Platform-independent, more sophisticated user interfaces • New information access paradigms (Hearst, 1999)

  25. Top InfoVis Research Issues • Representation of information • Handling diverse information formats • Improving communication of the system with its users (HCI) (hipertext.net)

  26. Próxima sesión • Invitado especial de VITI • Lecturas por confirmar

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