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User-Oriented IR Models
571- Information Access and Retrieval
System-oriented vs. User-oriented
• System-oriented approaches– information retrieval as a match between a
request or a query and a set of documents – Artificial intelligence.
• User-oriented approaches– shift from document representation to the
representation of the cognitive and social structure of users
Fundamental Models—related to Information Need
• Taylor’s levels of need (discussed last week)
• Belkin’s ASK hypothesis
• Dervin’s sense-making approach
Anomalous State of Knowledge (ASK) hypothesis
• Information seeking process begins with a problem• Users cannot solve the problem by applying existing
knowledge• Users’ anomalous state creates cognitive uncertainty
that prohibits them from adequately expressing their information needs.
• Need additional information to clarify users’ thoughts. • The driving force of information retrieval is the users’
problem that leads to recognition of their inadequate knowledge to specify their information need.
GENERATOR’SIMAGE OF THE WORLD
USER’SIMAGE OFTHE WORLD
TEXTREQUEST
CONCEPTUAL STATEOF KNOWLEDGE INFORMATION
ANOMALOUS STATEOF KNOWLEDGE
CONCEPTUAL STATEOF KNOWLEDGE
belief, intent, knowledge of usertransformations
realization of need
Linguistic,pragmatictransformations
Belkin’s cognitive communication system for information retrieval
– Explores the use of information in every day problems.
– Assumes that life entails making sense of one’s environment and experiences;
– Ever so often, you encounter unanticipated situations
situation-gap-use• which don’t make “sense” within the scope of our
knowledge/experience base
– Therefore, can best define, categorize or interpret them based on knowledge of the problem situation
Sense-making Approach
– Assumes that life entails making sense of one’s environment and experiences
– Ever so often, people encounters unanticipated situations which don’t make “sense” within the scope of their knowledge/experience base
– People attempts to “make sense” by formulating a question
The Constructivist view - sense-making approach
SITUATION
GAP USE (HELP)
CIRCLING
THE EXPERIENCE
Information Seeking Models
• Ellis’ Model of Information-seeking Behavior
• Bates’ Berrypicking Approach
• Kuhlthau’s information search process
• Wilson’s model of information behavior
Ellis’ Model of Information-seeking Behavior
• Starting– the initial work on a new topic or area.
• Chaining – following citation connections between materials.– backward chaining and forward chaining are the two
frequently occurring chaining types.• Browsing
– glancing through an area with potential interest– one form of semi-directed or structured searching.
• Differentiating – identifying differences among sources to filter the
materials examined
Ellis’ Model of Information-seeking Behavior
• Monitoring – keeping up with the developments of a field of study
by checking specific information sources.• Extracting
– identifying relevant material based on going through a particular source.
• Verifying– checking the accuracy of information
• Ending– conducting a final search to complete the process
Bates’ Berrypicking Approach
• Searchers’ search queries evolve in the information-seeking process.
• Searchers seek information piece by piece rather than in one retrieved set.
• Searchers apply multiple search techniques in the search process.
• Searchers access different sources in addition to bibliographic databases.
Kuhlthau’s information search process
• Information use as process, rather than single acts/products
• task initiation; • topic selection; • prefocus exploration; • focus formation; • information collection; • search closure/presentation
Kuhlthau, C.C. A process approach to library and information services, Norwood, NJ: Ablex, 1994.
Kuhlthau’s ISP Stages
Stages in ISP Feelings common to each stage
Thoughts common to each stage
Actions common to each stage
Appropriate task according to Kuhlthau model
1. Initiation Uncertainty General/vague Seeking background information
Recognize
2. Selection Optimism Identify 3. Exploration Confusion/
frustration/ doubt
Seeking relevant information
Investigate
4. Formulation Clarity Narrowed/ clearer
Formulate
5. Collection Sense of direction/ confidence
Increased interest
Seeking relevant or focused information
Gather
6. Presentation Relief/ satisfaction or disappointment
Clearer or focused
Complete
Wilson’s model of information behavior
• Incorporates theoretical modes of behaviors, such as stress/coping theory, risk/reward theory, and social learning theory,
• Enlighten the relationships between needs and information-seeking behavior, information resource usage, and self-efficacy
• Identifies several modes of search, e.g. passive search, active search, ongoing search, etc.
• Relate to other information-seeking models. The models of Ellis and Kuhlthau are the expansion and illustration of the active search mode of information-seeking behavior
Context of informationneed
Person-in-context
Interveningvariables
Activatingmechanism
Risk/rewardtheory
Activatingmechanism
Stress/copingtheory
Psychological
InformationProcessing
and use
Demographic
Role-related orinterpersonal
Environmental
Sourcecharacteristics
Information-seeking
behaviour
Social learningTheory
Self-efficacy
Passiveattention
Passive search
Ongoing search
Active searchsearch
Wilson’s model of information behavior
Interactive IR models
• Ingwersen’s Cognitive Model
• Belkin’s Episode model
• Saracevic’s stratified model
• Xie’s planned-situational model
Ingwersen’s Cognitive Model
• Originating from Ingwersen’s (1992) description of the processes of IR interaction– positions the searcher— influenced by his/her social or
organizational environment—at the center of the interaction,
• Ingwersen and Järvelin (2005, p.261) proposed an integrated IS&R research framework with the model of interactive information-seeking, retrieval and behavioral processes. – a generalized model that considers cognitive actor(s) or teams
derived from their organizational, cultural, and social context as the central component of the model
Complex Cognitive framework of longitudinal interactive IS&R (Turn, p. 274, Fig. 6.8)
IT Retrieval Engines
Database architectureIndexing algorithms
Computational Logics‹- Models-›
InformationObjects
Knowledge representationThesaural nets
Full contents/structures…‹- Models-›
InterfaceFunctions‹- Models-›
Information seeker´s
Cognitive SpaceWork task/interest perceptionCognitive & emotional state
‹- Models-›Problem situation / Goal
UncertaintySearch task/Information need
Information behaviourRelevance & use as-
sessments
Org.
Cultural
RQuery
R = Request / Relevance feedback
StrategiesPreferencesInterests
DomainsGoalsWork task situations
Cognitive transformation and influence over time Longitudinal interaction of cognitive structures
Modification
5
7
6
8
134
2Social Context‹- Models-›
Cognitive Actor(s)• As a central component of the model, cognitive actor(s) or teams can be
represented by the following human groups in the information creation, organization, dissemination, and use process:
– Creators of information objects;– Indexers analyzing and generating representations of information objects to
facilitate retrieval of information objects;– Designers of interface and software to facilitate users’ interaction with systems;– Designers of retrieval engines, structures, and algorithms to facilitate users’
effective retrieval of relevant information;– Gatekeepers determining the availability of information objects into a collection or
a carrier;– Information-seekers or searchers looking for information to solve their problems;
and– Communities representing different groups from different organizational, social,
and cultural contexts.
Models of information needs/use-- Nick Belkin’s Episode Model
• interaction– representation– comparison– summarization– navigation– visualization
• factors– user’s goals,
intentions – knowledge– problem at that
time– the nature of the
information objects being interacted with
Belkin’s Episode Model
Models of information needs/use-- the stratified interaction model
• Tefko Saracevic’s stratified interaction model – surface level– cognitive level– situational level
Saracevic’s Stratified model
Figure 1. Elements in the stratified model of IR interaction
Situational
tasks ...
Affective
intent ...
Querycharacteristics
INTERFACE
Engineeringhardware, capacities
software, algorithms ...
Cognitive knowledge structure ...
Surface level
Processing
Contentinf. resources - textsrepresentations ...
Cognitive View: Planned Model
• Views information seeking as continuous and interrelated actions.
• Attempts to understand information seeking in relation to general plans and goals.
Newell, A. & Simon, A. (1972). Human Problem Solving. Englewood Cliffs, N.J.: Prentice-Hall.
Social Science View --Theory of Situated Action
• Assumes that the coherence of action is not adequately explained by either preconceived cognitive schema or institutionalized social norms.
• Information seeking is an emergent property of moment-by-moment interactions between users and environments they interact with.
Suchman, L.A. (1987). Plans and Situated Actions: The problems of human-machine communication. Cambridge: Cambridge University Press.
Planned-situational Model • People engage in multiple types of information seeking and
retrieving strategies in order to find useful information.– Identifying, learning, exploring, creating, modifying, monitoring, keeping
records, accessing, organizing, evaluating, obtaining and disseminating.
• People have to shift their information seeking and retrieving strategies under different situations in their information seeking and retrieving process– Routine situation
• Planned shifts– Disruptive situation
• Opportunistic shifts– Problematic situation
• Assisted shifts• Alternative shifts
Planned-situational Model
• Planned and situational factors determine the selection of and shifts in information seeking strategies – Planned aspects
• Levels of user goals/tasks• Dimensions of user work and search tasks• User personal information infrastructure
– Situational aspects• Outcomes of user-system interactions• Information objects users interact with• IR system design• Social-organizational context
Xie, H. (2008) Interactive Information Retrieval in Digital Environments. Hershey, PA: IGI Global.
Planned-situational Model
Levels of goals and tasks
Levels of goals
Long term goal
Leading search goal
Current search goal
Levels of tasks
Goal for task
Work task
Search task
Plan•What to do first?
•How to achieve goals/tasks?
•When to stop?
Information seeking strategies(ISS)
Interactive intentions
•Types of intentions
•Types of entities
•Types of attributes
Retrieval tactics
•Types of methods
•Types of tactics
•Types of attributes
Situation
Personal informationInfrastructure
•Domain knowledge
•System knowledge
•Information retrieval knowledge
•Cognitive style
Interface
Informationobject
IR system
Social-organizational Context
•Work domain
•Actors
•Interaction activities
routine
problem
atic
disrupted
Computationalmechanism
Contributions of user-oriented IR models
• Providing theoretical frameworks for research on information-seeking and retrieval.
• Extend to specific issues in the information-seeking and retrieval process.
• Applied to both theoretical research and empirical research.
Limitations of user-oriented IR models
• There are no large-scale empirical studies that have tested or validated these models.
• A related issue is how these IR models account for key specific issues in IR.
• Their impact on practical implications, especially the design of interactive IR systems, is not as significant as their theoretical implications