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Information Retrieval Interaction. CMSC 838S Douglas W. Oard April 27, 2006. Process/System Co-Design. IR System. Query Formulation. Query. Search. Collection Indexing. Index. Collection Acquisition. Collection. System Design. Source Selection. Ranked List. Document - PowerPoint PPT Presentation
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Information Retrieval Interaction
CMSC 838SDouglas W. Oard
April 27, 2006
Process/System Co-Design
System Design
SourceSelection
Search
Query
Document Selection
Ranked List
DocumentExamination
Document
DocumentDelivery
Document
QueryFormulation
IR System
CollectionIndexing Index
CollectionAcquisition Collection
Information Needs (Taylor)
• Visceral– What you really want to know
• Conscious– What you recognize that you want to know
• Formalized– How you articulate what you want to know
• Compromised– How you express what you want to know to a system
Anomalous State of Knowledge
• Belkin: Searchers do not clearly understand– The problem itself– What information is needed to solve the problem
• The query results from a clarification process
• Dervin’s “sense making”:
Need
Gap Bridge
Selection/Examination Tasks• “Indicative” tasks
– Recognizing what you are looking for– Determining that no answer exists in a source– Probing to refine mental models of system operation
• “Informative” tasks– Vocabulary acquisition– Concept learning– Information use
A Selection Interface Taxonomy• One dimensional lists
– Content: title, source, date, summary, ratings, ...– Order: retrieval status value, date, alphabetic, ...– Size: scrolling, specified number, score threshold
• Two dimensional displays– Construction: clustering, starfield, projection– Navigation: jump, pan, zoom
• Three dimensional displays– Contour maps, fishtank VR, immersive VR
Google: KeyWord In Context (KWIC)
Query: University of Maryland College Park
U Mass: Scrollbar-Tilebar
NPR Online
Ask: Suggested Query Refinements
Vivisimo: Clustered Results
Kartoo’s Cluster Visualization
Semantic Maps
• PNL Themescape/Themeview (1995), http://www.pnl.gov/infoviz/technologies.html
• Sandia Vx-Insight (1996), http://www.cs.sandia.gov/projects/VxInsight.html
• Arizona ET-MAP (1998), http://ai.eller.arizona.edu/research/dl/etmapdemo.htm
• Some challenges:– Region labeling– Point labeling
Pacific Northwest Lab: ThemeView
Credit to: Pacific Northwest National Laboratory
LTU ImageSeeker
Glasgow: “Ostensive” Browser
CMU: Television News Retrieval
Maryland: Baltimore Learning CommunityMaryland: Baltimore Learning Community
Ben’s ‘Seamless Interface’ Principles• Informative feedback• Easy reversal• User in control
– Anticipatable outcomes– Explainable results– Browsable content
• Limited working memory load– Query context– Path suspension
• Alternatives for novices and experts• Scaffolding
My ‘Synergistic Interaction’ Principles– Interdependence with process (“interaction models”)
• Co-design with search strategy• Speed
– System initiative• Guided process• Exposing the structure of knowledge
– Support for reasoning• Representation of uncertainty• Meaningful dimensions
– Synergy with features used for search• Weakness of similarity, Strength of language
– Easily learned• Familiar metaphors (timelines, ranked lists, maps)
Guidelines for Practice
• Show the query in the selection interface– It provides context for the display
• Explain what the system has done– It is hard to control a tool you don’t understand
• Highlight search terms, for example
• Complement what the system has done– Users add value by doing things the system can’t– Expose the information users need to judge utility