1 / 31

User-Oriented IR Models

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

Download Presentation

User-Oriented IR Models

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. User-Oriented IR Models 571- Information Access and Retrieval

  2. 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

  3. Fundamental Models—related to Information Need • Taylor’s levels of need (discussed last week) • Belkin’s ASK hypothesis • Dervin’s sense-making approach

  4. 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.

  5. USER’S IMAGE OF THE WORLD GENERATOR’S IMAGE OF THE WORLD REQUEST TEXT Linguistic, pragmatic transformations CONCEPTUAL STATE OF KNOWLEDGE CONCEPTUAL STATE OF KNOWLEDGE ANOMALOUS STATE OF KNOWLEDGE INFORMATION belief, intent, knowledge of user transformations realization of need Belkin’s cognitive communication system for information retrieval

  6. 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

  7. 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

  8. The Constructivist view - sense-making approach

  9. Information Seeking Models • Ellis’ Model of Information-seeking Behavior • Bates’ Berrypicking Approach • Kuhlthau’s information search process • Wilson’s model of information behavior

  10. 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

  11. 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

  12. 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.

  13. 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.

  14. Kuhlthau’s ISP Stages

  15. 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

  16. Wilson’s model of information behavior

  17. Interactive IR models • Ingwersen’s Cognitive Model • Belkin’s Episode model • Saracevic’s stratified model • Xie’s planned-situational model

  18. 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

  19. Information Objects Knowledge representation Thesaural nets Full contents/structures… ‹- Models-› R = Request / Relevance feedback 6 Org. Information seeker´s Cognitive Space Work task/interest perception Cognitive & emotional state ‹- Models-› Problem situation / Goal Uncertainty Search task/Information need Information behaviour Relevance & use as-sessments 5 Domains Goals Work task situations Interface Functions ‹- Models-› Social Context ‹- Models-› R Query 3 1 4 Modification 2 IT Retrieval Engines Database architecture Indexing algorithms Computational Logics ‹- Models-› Strategies Preferences Interests 7 Cultural 8 Cognitive transformation and influence over time Longitudinal interaction of cognitive structures Complex Cognitive framework of longitudinal interactive IS&R (Turn, p. 274, Fig. 6.8)

  20. 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.

  21. 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 Models of information needs/use-- Nick Belkin’s Episode Model

  22. Belkin’s Episode Model

  23. Models of information needs/use-- the stratified interaction model • Tefko Saracevic’s stratified interaction model • surface level • cognitive level • situational level

  24. Saracevic’s Stratified model

  25. 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.

  26. 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.

  27. 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

  28. 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.

  29. Planned-situational Model

  30. 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.

  31. 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

More Related