-
Cole, C.: Activity of understanding a problem during interaction with an 'enabling' information retrieval system : modeling information flow (1999)
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- Abstract
- This article is about the mental coding processes involved in the flow of 'information' when the user is interacting with an 'enabling' information retrieval system. An 'enabling' IR system is designed to stimulate the user's grasping towards a higher understanding of the information need / problem / task that brought the user to the IR system. C. Shannon's (1949/1959) model of the flow of information and K.R. Popper's (1975) 3 worlds concept are used to diagram the flow of information between the user and system when the user receives a stimulating massage, with particluar emphasis on the decoding and encoding operations involved as the user processes the message. The key difference between the model of information flow proposed here and the linear transmission, receiver-oriented model now in use is that we assume that users of a truly interactive, 'enabling' IR system are primarily message senders, not passive receivers of the message, because they must create a new message back to the system, absed on a reconceptualization of their information need, while they are 'online' interacting with the system
- Date
- 22. 5.1999 14:51:49
- Source
- Journal of the American Society for Information Science. 50(1999) no.6, S.544-552
-
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)
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- Date
- 22. 3.2013 19:41:17
- Source
- Journal of the American Society for Information Science and Technology. 64(2013) no.3, S.558-573
-
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
- Source
- New directions in cognitive information retrieval. Eds.: A. Spink, C. Cole
-
Cole, C.: Intelligent information retrieval: diagnosing information need : Part I: the theoretical framework for developing an intelligent IR tool (1998)
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- Source
- Information processing and management. 34(1998) no.6, S.709-720
-
Cole, C.: Intelligent information retrieval: diagnosing information need : Part II: uncertainty expansion in a prototype of a diagnostic IR tool (1998)
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- Source
- Information processing and management. 34(1998) no.6, S.721-731
-
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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Cole, C.: ¬A rebuttal of the book review of the book titled "The Consciousness' Drive: Information Need and the Search for Meaning" : mapping cognitive and document spaces (2020)
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- Content
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- Journal of the Association for Information Science and Technology. 71(2020) no.2, S.242
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Cole, C.; Kennedy, L.; Carter, S.: ¬The optimization of online searches through the labelling of a dynamic, situation-dependent information need : the reference interview and online searching for undergraduates doing a social-science assignment (1996)
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- Source
- Information processing and management. 32(1996) no.6, S.709-717
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Kennedy, L.; Cole, C.; Carter, S.: Connecting online search strategies and information needs : a user-centered, focus-labeling approach (1997)
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- RQ. 36(1997) no.4, S.562-568
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Cole, C.: Shannon revisited : information in terms of uncertainty (1993)
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Cole, C.: Operationalizing the notion of information as a subjective construct (1994)
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Tao, H.; Cole, C.: Wade-Giles or Hanyu Pinyin : practical issues in the transliteration of Chinese titles and proper names (1990)
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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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Spink, A.; Cole, C.: ¬A human information behavior approach to a philosophy of information (2004)
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- Source
- Library trends. 52(2004) no.3, S.617-628
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Spink, A.; Cole, C.: Human information behavior : integrating diverse approaches and information use (2006)
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- Abstract
- For millennia humans have sought, organized, and used information as they learned and evolved patterns of human information behaviors to resolve their human problems and survive. However, despite the current focus an living in an "information age," we have a limited evolutionary understanding of human information behavior. In this article the authors examine the current three interdisciplinary approaches to conceptualizing how humans have sought information including (a) the everyday life information seeking-sense-making approach, (b) the information foraging approach, and (c) the problem-solution perspective an information seeking approach. In addition, due to the lack of clarity regarding the rote of information use in information behavior, a fourth information approach is provided based an a theory of information use. The use theory proposed starts from an evolutionary psychology notion that humans are able to adapt to their environment and survive because of our modular cognitive architecture. Finally, the authors begin the process of conceptualizing these diverse approaches, and the various aspects or elements of these approaches, within an integrated model with consideration of information use. An initial integrated model of these different approaches with information use is proposed.
- Source
- Journal of the American Society for Information Science and Technology. 57(2006) no.1, S.25-35
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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)
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- Abstract
- Using Bertram Brookes fundamental equation, sets out a method for calculating the information content of an information process. The knowledge structure variables in the Brookes' equation are operationalized, following principles set out in Claude Shannon's mathematical theory of communication. The set of 'a priori' alternatives and the 'a priori' probabilities assigned to each member of the set by the person undergoing the information process is the operational definition of the variable K(S) from the fundamental equation, which represented the person's knowledge structure before the information process takes place. The set of the a posteriori alternatives and the revised probabilities assigned to each member of the set by the person undergoing the information process is the operational definition of the Brookes variable which is the person's knowledge structure after the information process take place. Gives an example of an information process from a recent archeological discovery
- Source
- Information processing and management. 33(1997) no.6, S.715-726
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Cole, C.: Information need : a theory connecting information search to knowledge formation (2012)
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- Footnote
- Rez. in: JASIST 64(2013) no.12, S.2595-2596 (N. Ford)
- Pages
- XIII, 224 S
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Cole, C.: ¬A socio-cognitive framework for designing interactive IR systems : lessons from the Neanderthals (2008)
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- Source
- Information processing and management. 44(2008) no.5, S.1784-1793
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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
- Source
- New directions in cognitive information retrieval. Eds.: A. Spink, C. Cole
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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
- Source
- New directions in cognitive information retrieval. Eds.: A. Spink, C. Cole
