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

E-mail

(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