Search (43 results, page 1 of 3)

  • × author_ss:"Spink, A."
  1. Zhang, Y.; Jansen, B.J.; Spink, A.: Identification of factors predicting clickthrough in Web searching using neural network analysis (2009) 0.03 
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    Date
    22. 3.2009 17:49:11
    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.3, S.557-570
  2. Spink, A.: Information science : a third feedback framework (1997) 0.01 
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    Abstract
    Feedback has been a fundamental element in many cybernetic and social models. Information science is also exploring feedback as a key concept within information seeking and retrieving models. This article first presents an overview of the feedback concepts within the frameworks and models of cybernetics and the social sciences. The article then proposes that an enhanced feedback concept is developing within the framework and models of information seeking and retrieving, and the development of a cognitive viewpoint of information, illuminating the information seeking and retrieving context. The three feedback frameworks and concepts (cybernetic, social, and interaction) are then compared based on their conceptualization of the feedback loop and notion of information
    Source
    Journal of the American Society for Information Science. 48(1997) no.8, S.728-740
  3. Spink, A.: Information and a sustainable future (1995) 0.01 
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    Abstract
    Describes various aspects of the issue of sustainable development and the possible implications and impacts of an alternative future of modernity and global industrialization on the future of information science
  4. Wolfram, D.; Spink, A.; Jansen, B.J.; Saracevic, T.: Vox populi : the public searching of the Web (2001) 0.01 
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    Source
    Journal of the American Society for Information Science and technology. 52(2001) no.12, S.1073-1074
  5. Spink, A.: Interactive information seeking and retrieving : a third feedback framework (1996) 0.01 
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    Abstract
    Information science is beginning to explore feedback as a key concept within information seeking and retrieving methods. Feedback has been a fundamental element in mmany cybernetic and social models. Gives an overview of feedback within the cybernetics and social frameworks. Compares these feedback concepts with the interactive feedback concept evolving within the framework of information seeking and retrieving, based on their conceptualization of the feedback loop and notion of information
    Source
    Global complexity: information, chaos and control. Proceedings of the 59th Annual Meeting of the American Society for Information Science, ASIS'96, Baltimore, Maryland, 21-24 Oct 1996. Ed.: S. Hardin
  6. Spink, A.: Information behavior : an evolutionary instinct (2010) 0.01 
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    Abstract
    Information behavior has emerged as an important aspect of human life, however our knowledge and understanding of it is incomplete and underdeveloped scientifically. Research on the topic is largely contemporary in focus and has generally not incorporated results from other disciplines. In this monograph Spink provides a new understanding of information behavior by incorporating related findings, theories and models from social sciences, psychology and cognition. In her presentation, she argues that information behavior is an important instinctive sociocognitive ability that can only be fully understood with a highly interdisciplinary approach. The leitmotivs of her examination are three important research questions: First, what is the evolutionary, biological and developmental nature of information behavior? Second, what is the role of instinct versus environment in shaping information behavior? And, third, how have information behavior capabilities evolved and developed over time? Written for researchers in information science as well as social and cognitive sciences, Spink's controversial text lays the foundation for a new interdisciplinary theoretical perspective on information behavior that will not only provide a more holistic framework for this field but will also impact those sciences, and thus also open up many new research directions.
    LCSH
    Computer science
    Library science
    Series
    Information science and knowledge management ; 6159
    Subject
    Computer science
    Library science
  7. Kuhlthau, C.; Spink, A.; Cool, C.: Exploration into stages in the retrieval in the information search process in online information retrieval : communication between users and intermediaries (1992) 0.01 
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    Source
    Proceedings of the 55th Annual Meeting of the American Society for Information Science, Pittsburgh, 26.-29.10.92. Ed.: D. Shaw
  8. Spink, A.: Multiple search sessions model of end-user behaviour : an exploratory study (1996) 0.01 
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    Source
    Journal of the American Society for Information Science. 47(1996) no.8, S.603-609
  9. Spink, A.; Losee, R.M.: Feedback in information retrieval (1996) 0.01 
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    Source
    Annual review of information science and technology. 31(1996), S.33-78
  10. Spink, A.: Study of interactive feedback during mediated information retrieval (1997) 0.01 
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    Source
    Journal of the American Society for Information Science. 48(1997) no.5, S.382-394
  11. 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
  12. Spink, A.; Saracevic, T.: Sources and use of search terms in online searching (1992) 0.01 
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    Source
    Proceedings of the 55th Annual Meeting of the American Society for Information Science, Pittsburgh, 26.-29.10.92. Ed.: D. Shaw
  13. Spink, A.; Goodrum, A.; Robins, D.: Search intermediary elicitations during mediated online searching (1995) 0.01 
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    Source
    Forging new partnerships in information: converging technologies. Proceedings of the 58th Annual Meeting of the American Society for Information Science, ASIS'95, Chicago, IL, 9-12 October 1995. Ed.: T. Kinney
  14. He, S.; Spink, A.: ¬A comparison of foreign authorship distribution in JASIST and the Journal of Documentation (2002) 0.01 
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    Source
    Journal of the American Society for Information Science and Technology. 53(2002) no.11, S.953-959
  15. 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.
  16. Spink, A.; Saracevic, T.: Dynamics of search term selection during mediated online searching (1993) 0.01 
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    Source
    Integrating technologies - converging professions: proceedings of the 56th Annual Meeting of the American Society for Information Science, Columbus, OH, 24-28 October 1993. Ed.: S. Bonzi
  17. Spink, A.; Beatty, L.: Multiple search sessions by end-users of online catalogs and CD-ROM databases (1995) 0.01 
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    Forging new partnerships in information: converging technologies. Proceedings of the 58th Annual Meeting of the American Society for Information Science, ASIS'95, Chicago, IL, 9-12 October 1995. Ed.: T. Kinney
  18. Spink, A.; Saracevic, T.: Interaction in information retrieval : selection and effectiveness of search terms (1997) 0.01 
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    Journal of the American Society for Information Science. 48(1997) no.8, S.741-761
  19. Jansen, B.J.; Spink, A.; Pedersen, J.: ¬A temporal comparison of AItaVista Web searching (2005) 0.01 
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    Journal of the American Society for Information Science and Technology. 56(2005) no.6, S.559-570
  20. Spink, A.; Park, M.: Information and non-information multitasking interplay (2005) 0.01 
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    Abstract
    Purpose - During multitasking, humans handle multiple tasks through task switching or engage in multitasking information behaviors. For example, a user switches between seeking new kitchen information and medical information. Recent studies provide insights these complex multitasking human information behaviors (HIB). However, limited studies have examined the interplay between information and non-information tasks. Design/methodology/approach - The goal of the paper was to examine the interplay of information and non-information task behaviors. Findings - This paper explores and speculates on a new direction in HIB research. The nature of HIB as a multitasking activity including the interplay of information and non-information behavior tasks, and the relation between multitasking information behavior to cognitive style and individual differences, is discussed. A model of multitasking between information and non-information behavior tasks is proposed. Practical implications/limitations - Multitasking information behavior models should include the interplay of information and non-information tasks, and individual differences and cognitive styles. Originality/value - The paper is the first information science theoretical examination of the interplay between information and non-information tasks.

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Years

Types

  • a 41
  • m 2
  • el 1
  • More… Less…

Themes

Subjects

Classifications