-
Cole, C.; Leide, J.; Beheshti, J.; Large, A.; Brooks, M.: Investigating the Anomalous States of Knowledge hypothesis in a real-life problem situation : a study of history and psychology undergraduates seeking information for a course essay (2005)
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- Abstract
- The authors present a study of the real-life information needs of 59 McGill University undergraduates researching essay topics for either a history or psychology course, interviewed just after they had selected their essay topic. The interview's purpose was to transform the undergraduate's query from general topic terms, based an vague conceptions of their essay topic, to an information need-based query. To chart the transformation, the authors investigate N. J. Belkin, R. N. Oddy, and H. M. Brooks' Anomalous States of Knowledge (ASK) hypothesis (1982a, 1982b), which links the user's ASK to a relevant document set via a common code based an structural facets. In the present study an interoperable structural code based an eight essay styles is created, then notions of structural facets compatible with a highimpact essay structure are presented. The important findings of the study are: (a) the undergraduates' topic statements and terms derived from it do not constitute an effective information need statement because for most of the subjects in the study the topic terms conformed to a low-impact essay style; (b) essay style is an effective interoperable structural code for charting the evolution of the undergraduate's knowledge state from ASK to partial resolution of the ASK in an information need statement.
- Source
- Journal of the American Society for Information Science and Technology. 56(2005) no.14, S.1544-1554
-
Large, A.; Beheshti, J.; Cole, C.: Information architecture for the Web : the IA matrix approach to designing children's portals (2002)
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- Source
- Journal of the American Society for Information Science and technology. 53(2002) no.10, S.831.838
-
Cole, C.; Beheshti, J.; Leide, J. E.; Large, A.: Interactive information retrieval : bringing the user to a selection state (2005)
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- Pages
- S.13-41
-
Cole, C.; Lin, Y.; Leide, J.; Large, A.; Beheshti, J.: ¬A classification of mental models of undergraduates seeking information for a course essay in history and psychology : preliminary investigations into aligning their mental models with online thesauri (2007)
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- Source
- Journal of the American Society for Information Science and Technology. 58(2007) no.13, S.2092-2104
-
Spink, A.; Cole, C.: ¬A multitasking framework for cognitive information retrieval (2005)
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- Abstract
- Information retrieval (IR) research has developed considerably since the 1950's to include consideration of more cognitive, interactive and iterative processes during the interaction between humans and IR or Web systems (Ingwersen, 1992, 1996). Interactive search sessions by humans with IR systems have been depicted as interactive IR models (Saracevic, 1997). Human-IR system interaction is also modeled as taking place within the context of broader human information behavior (HIB) processes (Spink et al., 2002). Research into the human or cognitive (user modeling) aspects of IR is a growing body of research on user interactivity, task performance and measures for observing user interactivity. The task context and situational characteristics of users' searches and evaluation have also been identified as key elements in a user's interaction with an IR system (Cool and Spink, 2002; Vakkari, 2003). Major theorized interactive IR models have been proposed relating to the single search episode, including Ingwersen's (1992,1996) Cognitive Model of IR Interaction, Belkin et al.'s (1995) Episodic Interaction Model, and Saracevic's (1996,1997) Stratified Model of IR Interaction. In this chapter we examine Saracevic's Stratified Model of IR Interaction and extend the model within the framework of cognitive IR (CIR) to depict CIR as a multitasking process. This chapter provides a new direction for CIR research by conceptualizing IR with a multitasking context. The next section of the chapter defines the concept of multitasking in the cognitive sciences and Section 3 discusses the emerging understanding of multitasking information behavior. In Section 4, cognitive IR is depicted within a multitasking framework using Saracevic's (1996, 1997) Stratified Model of IR Interaction. In Section 5, we link information searching and seeking models together, via Saracevic's Stratified Model of IR Interaction, but starting with a unitask model of HIB. We begin to model multitasking in cognitive IR in Section 6. In Sections 7 and 8, we increase the complexity of our developing multitasking model of cognitive IR by adding coordinating mechanisms, including feedback loops. Finally, in Section 9, we conclude the chapter and indicate future directions for further research.
- Date
- 19. 1.2007 12:55:22
- Pages
- S.99-112
-
Cole, C.; Mandelblatt, B.; Stevenson, J.: Visualizing a high recall search strategy output for undergraduates in an exploration stage of researching a term paper (2002)
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- Source
- Information processing and management. 38(2002) no.1, S.37-54
-
Cole, C.; Leide, J.E.; Large, A,; Beheshti, J.; Brooks, M.: Putting it together online : information need identification for the domain novice user (2005)
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- Source
- Journal of the American Society for Information Science and Technology. 56(2005) no.7, S.684-694
-
Yi, K.; Beheshti, J.; Cole, C.; Leide, J.E.; Large, A.: User search behavior of domain-specific information retrieval systems : an analysis of the query logs from PsycINFO and ABC-Clio's Historical Abstracts/America: History and Life (2006)
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- Source
- Journal of the American Society for Information Science and Technology. 57(2006) no.9, S.1208-1220
-
Leide, J.E.; Cole, C.; Beheshti, J.; Large, A.; Lin, Y.: Task-based information retrieval : structuring undergraduate history essays for better course evaluation using essay-type visualizations (2007)
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- Source
- Journal of the American Society for Information Science and Technology. 58(2007) no.9, S.1227-1241
-
Leide, J.E.; Large, A.; Beheshti, J.; Brooks, M.; Cole, C.: Visualization schemes for domain novices exploring a topic space : the navigation classification scheme (2003)
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- Source
- Information processing and management. 39(2003) no.6, S.923-940
-
Cole, C.: Intelligent information retrieval : Part IV: Testing the timing of two information retrieval devices in a naturalistic setting (2001)
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- Source
- Information processing and management. 37(2001) no.1, S.163-182
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Spink, A.; Cole, C.: ¬A human information behavior approach to a philosophy of information (2004)
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- Library trends. 52(2004) no.3, S.617-628
-
Cole, C.: ¬A socio-cognitive framework for designing interactive IR systems : lessons from the Neanderthals (2008)
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- Information processing and management. 44(2008) no.5, S.1784-1793
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Cole, C.: Interaction with an enabling information retrieval system : modeling the user's decoding and encoding operations (2000)
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- Journal of the American Society for Information Science. 51(2000) no.5, S.417-426
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Cole, C.: Name collection by Ph.D. history students : inducing expertise (2000)
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- Journal of the American Society for Information Science. 51(2000) no.5, S.444-455
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Cole, C.; Mandelblatt, B.: Using Kintsch's discourse comprehension theory to model the user's coding of an informative message from an enabling information retrieval system (2000)
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- Journal of the American Society for Information Science. 51(2000) no.11, S.1033-1046
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Cole, C.; Leide, J.E.: Using the user's mental model to guide the integration of information space into information need (2003)
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- Source
- Journal of the American Society for Information Science and technology. 54(2003) no.1, S.39-46
-
Spink, A.; Cole, C.: Human information behavior : integrating diverse approaches and information use (2006)
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- Source
- Journal of the American Society for Information Science and Technology. 57(2006) no.1, S.25-35
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Spink, A.; Cole, C.: Introduction (2004)
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- Source
- Journal of the American Society for Information Science and Technology. 55(2004) no.9, S.767-768
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Spink, A.; Cole, C.: New directions in cognitive information retrieval : conclusion and further research (2005)
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- Pages
- S.229-233
