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Seminario de Tecnologías de Información Emergentes Agosto-Diciembre, 2007 Sesión # 5
Seminario de Tecnologías de Información Emergentes
Agosto-Diciembre, 2007
Sesión # 5
The Information Search Process
Recognize an information needDefine and understand needsChoose a search systemFormulate a queryExecute searchExamine resultsExtract informationReflect / Iterate / Stop
(Marchionini, 1997)
Information Retrieval ProcessRecognize an information needDefine and understand needsChoose a search systemFormulate a queryExecute searchExamine resultsExtract informationReflect / Iterate / Stop
(Marchionini, 1997)
Information Visualization (InfoVis)
Recognize an information needDefine and understand needsChoose a search systemFormulate a queryExecute searchExamine resultsExtract informationReflect / Iterate / Stop
(Marchionini, 1997)
DefinitionsScientific 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
(Shneiderman & Plaisant, 2005)
InfoVis Demos
TextArc
http://textarc.org/
Chat circles http://alumni.media.mit.edu/~fviegas/projects/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/products/sentiment.aspx
Blog analysis software http://www.umbrialistens.com/products/technology.php
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
Visual IR InterfacesCollection (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 attributesTileBars
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
