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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 Reflect / Iterate / Stop (Marchionini, 1997) 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) 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) 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) 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) 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) InfoVis Main Tasks Overview Zoom Filter Details on demand Relate History Extract (Shneiderman & Plaisant, 2005) 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) 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) InfoVis Main Tasks Filter Users should be able to filter items of interest. Features: Eliminating unwanted items Sliders, bottons, menus (Shneiderman & Plaisant, 2005) 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) 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) 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) 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) InfoVis Demos TextArc http://textarc.org/ Chat circles http://alumni.media.mit.edu/~fviegas/p rojects/chatcircles/index.htm InfoVis Demos Exploring enron http://jheer.org/enron/ eArchivarius http://www.isi.edu/news/print.php?story =56 InfoVis Demos PhotoMesa http://www.cs.umd.edu/hcil/photomesa/ ICDL http://www.icdlbooks.org/ InfoVis Applications Sentiment analysis software http://www.corporasoftware.com/prod ucts/sentiment.aspx Blog analysis software http://www.umbrialistens.com/product s/technology.php InfoVis Applications Visualization methods & approaches http://www.visualliteracy.org/periodic_table/periodic_ta ble.html Visual Information Retrieval Interfaces http://www.hipertext.net/english/pag100 7.htm 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) Visual IR Interfaces Collection (overview) Document attributes TileBars E-Archivarius Chat circles Other? 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) Top InfoVis Research Issues Personal information collections Abstract information spaces Platform-independent, more sophisticated user interfaces New information access paradigms (Hearst, 1999) Top InfoVis Research Issues Representation of information Handling diverse information formats Improving communication of the system with its users (HCI) (hipertext.net) Próxima sesión Invitado especial de VITI Lecturas por confirmar