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Information in the Digital Environment Information Seeking Models Dr. Dania Bilal IS 530 Spring 2006
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Information Options Print Databases CD-ROM Web-based Command-driven (e.g., Dialog) Web-based interface Text-based interface
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Print Option Periodical indexes Most are inexpensive Subscription Owned by library Easily accessible One user per one volume/section used Citations to magazine & journal articles Update
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CD-ROM Databases Subscription Need for software & hardware Cost varies Ease of use varies Updates
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CD-ROM Databases High storage (650 mg to over a gigabyte) 650 mg equivalent to 250,000 pages of text or 1 million catalog records Can be loaded on stand-alone or networked computers. Site license is needed
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Command-Driven Databases Search skills User information need Search topic negotiation Up-to-date Access to >100s of databases Cost varies with database Web- and text-based interfaces
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Information Retrieval System (IR) A set of components that interact to provide feedback Comprised of interlinked entities Agency that creates the databases People Documents
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Interlinked Entities Agency Documents People
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The IR Cycle Documents are analyzed, translated, indexed, and stored. Documents are organized Cataloging (description/representation of docs.) Subject indexing
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The IR Cycle Subject indexing a) Determination of subject content (conceptual analysis) b) Translation of content into language of the system (controlled vocabulary) c) Abstracting
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The IR Cycle Language of the system (controlled vocabulary) List of subject headings (Pre-coordinate) Thesauri (Pre-coordinate) Classification scheme
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The IR Cycle Documents are represented by other entities Author(s) Date of publication Language Identifiers
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The IR Cycle Entities may become access points Documents are stored after indexing Document representation is entered into the matching mechanism
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The IR Cycle A file of document surrogates is established File becomes available for searching using a variety of access points
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The IR Cycle User Query Analyzed for conceptual content Translated into the language of the system (matched against controlled vocabulary and keywords) Matched against document surrogates in the database
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Explanation of the IR Cycle Output A set of records found and deemed relevant to a user query User judgment of retrieval
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The IR Cycle
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User Judgment Relevance to information need Relevance ranking by IR system Relevance vs. pertinence
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Document-Based IRs Input, output, and matching mechanisms Selection of documents (done by indexers) Analysis of documents (done by indexers)
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Document-Based IRs Document representation (done by indexers) Analysis of user query (done by system) Matching user query with relevant documents (done by system) Delivery of documents (output)
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Information Seeking
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Process of finding information to fill a knowledge gap User requests Known item searches Unknown item searches Subject searches
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Information Seeking Models Ellis’ Behavioral Model Kuhlthau’s Information Search Process Model Nahl’s ACS Model Marchionini’s Information Process Model Wilson’s Problem-Solving Model Belkin’s Information Seeking Strategies (ISS) Belkin’s Anomalous State of Knowledge (ASK) Dervin’s sense-making theory
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Ellis’ Behavioral Model Describes 8 information seeking patterns of social scientists, physical scientists, and engineers in using hypertext (e.g., the Web) Starting (Surveying), Chaining, Monitoring, Browsing, Differentiating (Distinguishing), Filtering, Extracting, Verifying, Ending.
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Kuhlthau’s ISP Model Information search process from the user’s perspective in traditional environment Affective, cognitive, and sensorimotor Six stages: Initiation, Selection, Exploration, Formulation, Collection, Presentation
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Nahl’s ACS Model Taxonomic approach for identifying the levels of information seeking behaviors Searcher’s feeling (A), thinking (C), and doing (S) is termed “information behavior” Levels are sequential and continuous
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Marchionini’s Model Problem solving approach to understanding information seeking process in the electronic environment Eight processes: Problem recognition, Problem definition, Selection of system/source, Problem articulation (query formulation), Search execution, Examination of results, Extraction of desired information; Reflection, Iteration, and Stopping of search process
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Wilson’s Problem-Solving Model Goal-directed behavior of problem solving From uncertainty to certainty through the problem-resolution process: Problem identification, Problem definition, Problem resolution, Solution statement (has affective dimensions) Stages are sequential and non-linear
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Belkin’s ISS Model Task-oriented with 4 sets of tasks: Browsing: scanning or searching a resource Learning: expanding knowledge of goal, problem, & system used Recognition: identifying relevant items Meta information: interaction with items that map the boundaries of the task Dynamic process
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Belkin’s ASK Theory ASK (Anomalous State of Knowledge) “The cognitive and situational aspects that were the reason for seeking information and approaching an IR system” (Saracevic, 1996). Knowledge gap (anomaly) and the need to solve it Implications for system design
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Dervin and Sense-making A need to make sense of the world or a current situation A state that arises within a person, suggesting some kind of gap that requires filling. Gap is filled by information
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Dervin’s Sense-making A search starts with questions directed at making sense of a current situation. Communication is central to “bridge a knowledge gap.” Strategies used are shaped by the user’s conceptualization of both the gap and the bridge, and by answers, ideas, and resources obtained.
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Dervin’s Sense-making Affective states (emotions, feelings, attitudes, etc.) are as vital as cognition. Anxiety and uncertainty are reduced as the gap becomes smaller.
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Dervin’s Sense-Making Metaphor Questions answered Ideas formed Resources obtained Situation Gap Bridged Uses (Helps) Strategies used Gap Faced Barrier Faced
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