Search (15 results, page 1 of 1)

  • × author_ss:"Cole, C."
  • × type_ss:"a"
  • × year_i:[2000 TO 2010}
  1. 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
  2. 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
  3. 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
  4. 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.
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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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    Source
    Journal of the American Society for Information Science and Technology. 57(2006) no.9, S.1208-1220
  12. 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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    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.9, S.1227-1241
  13. Spink, A.; Cole, C.: Introduction (2004) 0.00 
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    Journal of the American Society for Information Science and Technology. 55(2004) no.9, S.767-768
  14. Spink, A.; Cole, C.: New directions in cognitive information retrieval : conclusion and further research (2005) 0.00 
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    Abstract
    New Directions in Cognitive Information Retrieval (IR) gathers user or cognitive approaches to IR research into one volume. The group of researchers focus on a middleground perspective between system and user. They ask the question: What is the nexus between the wider context of why and how humans behave when seeking information and the technological and other constraints that determine the interaction between user and machine? These researchers' concern for the application of user/cognitive-oriented research to IR system design thus serves as a meeting ground linking computer scientists with their largely system performance concerns and the social science research that examines human information behavior in the wider context of how human perception and cognitive mechanisms function, and the work and social frameworks in which we live. The researchers in this volume provide an in-depth revaluation of the concepts that form the basis of current IR retrieval system design. Current IR systems are in a certain sense based on design conceptualizations that view - the user's role in the user-system interaction as an input and monitoring mechanism for system performance; - the system's role in the user-system interaction as a data acquisition system, not an information retrieval system; and - the central issue in the user-system interaction as the efficacy of the system's matching algorithms, matching the user request statement to representations of the document set contained in the system's database. But the era of matching-focused approaches to interactive IR appears to be giving way to a concern for developing interactive systems to facilitate collaboration between users in the performance of their work and social tasks. There is room for cognitive approaches to interaction to break in here.
  15. 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) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.13, S.2092-2104

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