Search (20 results, page 1 of 1)

  • × author_ss:"Cole, C."
  1. 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
  2. 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
  3. Cole, C.: Activity of understanding a problem during interaction with an 'enabling' information retrieval system : modeling information flow (1999) 0.01 
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    Date
    22. 5.1999 14:51:49
  4. 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
  5. 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
  6. Cole, C.: Interaction with an enabling information retrieval system : modeling the user's decoding and encoding operations (2000) 0.01 
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    Abstract
    With new interactive technology, we can increase user satisfaction by designing information retrieval systems that inform the user while the user is on-line interacting with the system. The purpose of this article is to model the information processing operations of a generic user who has just received an information message from the system and is stimulated by the message into grasping at a higher understanding of his or her information task or problem. The model consists of 3 levels, each of which forms a separate subsystem. In the Perseption subsystem, the user perceives the system message in a visual sense; in the Comprehension subsystem, the user must comprehend the system message; and in the Application subsystem, the user must (a) interpret the system message in terms of the user's task at hand, and (b) create and send a new message back to the system to complete the interaction. Because of the information process stimulated by the interaction, the user's new message forms a query to the system that more accurately represents the user's information need than would have been the case if the interaction had not taken place. This article proposes a device to enable clarification of the user's task, and thus his/her information need at the Application subsystem level of the model
  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
  8. 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
  9. 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
  10. 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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    Source
    Journal of the American Society for Information Science and Technology. 56(2005) no.14, S.1544-1554
  11. Spink, A.; Cole, C.: Human information behavior : integrating diverse approaches and information use (2006) 0.01 
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    Source
    Journal of the American Society for Information Science and Technology. 57(2006) no.1, S.25-35
  12. 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
  13. 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
  14. Cole, C.: ¬A theory of information need for information retrieval that connects information to knowledge (2011) 0.01 
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    Journal of the American Society for Information Science and Technology. 62(2011) no.7, S.1216-1231
  15. 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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    Journal of the Association for Information Science and Technology. 66(2015) no.5, S.943-960
  16. Cole, C.; Beheshti, J.; Abuhimed, D.; Lamoureux, I.: ¬The end game in Kuhlthau's ISP Model : knowledge construction for grade 8 students researching an inquiry-based history project (2015) 0.01 
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    Journal of the Association for Information Science and Technology. 66(2015) no.11, S.2249-2266
  17. Spink, A.; Cole, C.: Introduction (2004) 0.01 
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    Journal of the American Society for Information Science and Technology. 55(2004) no.9, S.767-768
  18. 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.
  19. 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) 0.01 
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    Journal of the American Society for Information Science and Technology. 58(2007) no.13, S.2092-2104
  20. Cole, C.: ¬The consciousness' drive : information need and the search for meaning (2018) 0.00 
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    Footnote
    Rez. in: JASIST 71(2020) no.1, S.118-120 (Heidi Julien). - Vgl. auch den Beitrag: 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. In: Journal of the Association for Information Science and Technology. 71(2020) no.2, S.242.

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