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Spink, A.; Cole, C.: ¬A multitasking framework for cognitive information retrieval (2005) 0.01
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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

Cole, C.; Leide, J.E.: Using the user's mental model to guide the integration of information space into information need (2003) 0.01

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Source: Journal of the American Society for Information Science and technology. 54(2003) no.1, S.39-46
Year: 2003

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) 0.01

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Source: Information processing and management. 39(2003) no.6, S.923-940
Year: 2003

Cole, C.: Intelligent information retrieval: diagnosing information need : Part II: uncertainty expansion in a prototype of a diagnostic IR tool (1998) 0.00

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Date: 11. 8.2001 14:48:29

Cole, C.: Calculating the information content of an information process for a domain expert using Shannon's mathematical theory of communication : a preliminary analysis (1997) 0.00

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Date: 21. 9.1998 9:29:48

Cole, C.: Activity of understanding a problem during interaction with an 'enabling' information retrieval system : modeling information flow (1999) 0.00

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Date: 22. 5.1999 14:51:49

Cole, C.: Name collection by Ph.D. history students : inducing expertise (2000) 0.00

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Date: 4. 4.2000 13:29:38

Beheshti, J.; Cole, C.; Abuhimed, D.; Lamoureux, I.: Tracking middle school students' information behavior via Kuhlthau's ISP Model : temporality (2015) 0.00

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Date: 26. 4.2015 19:49:29

Cole, C.; Behesthi, J.; Large, A.; Lamoureux, I.; Abuhimed, D.; AlGhamdi, M.: Seeking information for a middle school history project : the concept of implicit knowledge in the students' transition from Kuhlthau's Stage 3 to Stage 4 (2013) 0.00

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Date: 22. 3.2013 19:41:17

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