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  • × author_ss:"Cole, C."
  1. Cole, C.: Activity of understanding a problem during interaction with an 'enabling' information retrieval system : modeling information flow (1999) 0.03 
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    Date
    22. 5.1999 14:51:49
    Source
    Journal of the American Society for Information Science. 50(1999) no.6, S.544-552
  2. 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) 0.03 
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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
  3. Cole, C.: Shannon revisited : information in terms of uncertainty (1993) 0.01 
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    Abstract
    Shannon's theory of communication is discussed from the point of view of his concept of uncertainty. It is suggested that there are two information concepts in Shannon, two different uncertainties, and at least two different entropy concepts. Information science focuses on the uncertainty associated with the transmission of the signal rather than the uncertainty associated with the selection of a message from a set of possible messages. The author believes the latter information concept, which is from the sender's point of view, has more to say to information science about what information is than the former, which is from the receiver's point of view and is mainly concerned with 'noise' reduction
    Source
    Journal of the American Society for Information Science. 44(1993) no.4, S.204-211
  4. 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) 0.01 
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    Abstract
    Proposes a reference interview strategy that will allow the reference librarian to: efficiently assess the information need of undergraduates undertaking a social science assignment, label the information need, and assign the most appropriate online search strategy to satisfy this need
  5. Cole, C.: ¬A theory of information need for information retrieval that connects information to knowledge (2011) 0.01 
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    Abstract
    This article proposes a theory of information need for information retrieval (IR). Information need traditionally denotes the start state for someone seeking information, which includes information search using an IR system. There are two perspectives on information need. The dominant, computer science perspective is that the user needs to find an answer to a well-defined question which is easy for the user to formulate into a query to the system. Ironically, information science's best known model of information need (Taylor, 1968) deems it to be a "black box"-unknowable and nonspecifiable by the user in a query to the information system. Information science has instead devoted itself to studying eight adjacent or surrogate concepts (information seeking, search and use; problem, problematic situation and task; sense making and evolutionary adaptation/information foraging). Based on an analysis of these eight adjacent/surrogate concepts, we create six testable propositions for a theory of information need. The central assumption of the theory is that while computer science sees IR as an information- or answer-finding system, focused on the user finding an answer, an information science or user-oriented theory of information need envisages a knowledge formulation/acquisition system.
    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.7, S.1216-1231
  6. 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) 0.01 
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    Source
    Journal of the Association for Information Science and Technology. 71(2020) no.2, S.242
  7. 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) 0.01 
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    Abstract
    With new interactive technology, information science can use its traditional information focus to increase user satisfaction by designing information retrieval systems (IRSs) that inform the user about her task, and help the user get the task done, while the user is on-line interacting with the system. By doing so, the system enables the user to perform the task for which the information is being sought. In previous articles, we modeled the information flow and coding operations of a user who has just received an informative IRS message, dividing the user's processing of the IRS message into three subsystem levels. In this article, we use Kintsch's proposition-based construction-integration theory of discourse comprehension to further detail the user coding operations that occur in each of the three subsystems. Our enabling devices are designed to facilitate a specific coding operation in a specific subsystem. In this article, we describe an IRS device made up of two separate parts that enable the user's (1) decoding and (2) encoding of an IRS message in the Comprehension subsystem
    Source
    Journal of the American Society for Information Science. 51(2000) no.11, S.1033-1046
  8. Spink, A.; Cole, C.: ¬A multitasking framework for cognitive information retrieval (2005) 0.01 
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    Date
    19. 1.2007 12:55:22
  9. Cole, C.: Operationalizing the notion of information as a subjective construct (1994) 0.01 
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    Source
    Journal of the American Society for Information Science. 45(1994) no.7, S.465-476
  10. Large, A.; Beheshti, J.; Cole, C.: Information architecture for the Web : the IA matrix approach to designing children's portals (2002) 0.01 
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    Source
    Journal of the American Society for Information Science and technology. 53(2002) no.10, S.831.838
  11. Spink, A.; Cole, C.: New directions in cognitive information retrieval : introduction (2005) 0.01 
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    Abstract
    Humans have used electronic information retrieval (IR) systems for more than 50 years as they evolved from experimental systems to full-scale Web search engines and digital libraries. The fields of library and information science (LIS), cognitive science, human factors and computer science have historically been the leading disciplines in conducting research that seeks to model human interaction with IR systems for all kinds of information related behaviors. As technology problems have been mastered, the theoretical and applied framework for studying human interaction with IR systems has evolved from systems-centered to more user-centered, or cognitive-centered approaches. However, cognitive information retrieval (CIR) research that focuses on user interaction with IR systems is still largely under-funded and is often not included at computing and systems design oriented conferences. But CIR-focused research continues, and there are signs that some IR systems designers in academia and the Web search business are realizing that user behavior research can provide valuable insights into systems design and evaluation. The goal of our book is to provide an overview of new CIR research directions. This book does not provide a history of the research field of CIR. Instead, the book confronts new ways of looking at the human information condition with regard to our increasing need to interact with IR systems. The need has grown due to a number of factors, including the increased importance of information to more people in this information age. Also, IR was once considered document-oriented, but has now evolved to include multimedia, text, and other information objects. As a result, IR systems and their complexity have proliferated as users and user purposes for using them have also proliferated. Human interaction with IR systems can often be frustrating as people often lack an understanding of IR system functionality.
  12. Cole, C.: Interaction with an enabling information retrieval system : modeling the user's decoding and encoding operations (2000) 0.01 
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    Source
    Journal of the American Society for Information Science. 51(2000) no.5, S.417-426
  13. Cole, C.: Name collection by Ph.D. history students : inducing expertise (2000) 0.01 
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    Source
    Journal of the American Society for Information Science. 51(2000) no.5, S.444-455
  14. 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
  15. Cole, C.; Leide, J.E.; Large, A,; Beheshti, J.; Brooks, M.: Putting it together online : information need identification for the domain novice user (2005) 0.01 
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    Source
    Journal of the American Society for Information Science and Technology. 56(2005) no.7, S.684-694
  16. 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) 0.01 
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    Journal of the American Society for Information Science and Technology. 56(2005) no.14, S.1544-1554
  17. Spink, A.; Cole, C.: Human information behavior : integrating diverse approaches and information use (2006) 0.01 
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    Journal of the American Society for Information Science and Technology. 57(2006) no.1, S.25-35
  18. 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) 0.01 
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    Journal of the American Society for Information Science and Technology. 57(2006) no.9, S.1208-1220
  19. 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) 0.01 
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    Journal of the American Society for Information Science and Technology. 58(2007) no.9, S.1227-1241
  20. Beheshti, J.; Cole, C.; Abuhimed, D.; Lamoureux, I.: Tracking middle school students' information behavior via Kuhlthau's ISP Model : temporality (2015) 0.01 
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    Source
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