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  • × author_ss:"Spink, A."
  1. Spink, A.; Beatty, L.: Multiple search sessions by end-users of online catalogs and CD-ROM databases (1995) 0.02
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    Abstract
    Reports from a study investigating the extent to which academic end users conduct multiple search sessions, over time woth OPAC or CD-ROM databases at different stages of their information seeking related to a current research project. Interviews were conducted using a questionnaire with 200 academic end users at Rutgers University Alexander Library, NJ and University of North Texas, to investigate the occurrence of multiple search sessions. Results show that at the time of the survey interview, 57% of end users had conducted multiple search sessions during their research project and 86% of end users conducted their 1st search session at the beginning stage of their information seeking process. 49% of end users had conducted between 1 and 6 search sessions and 8% more than 6 search sessions. 70% of multiple search sessionss end users had modified their search terms since their 1st search session. Discusses the implications of the findings for end user training, information retrieval systems design and further research
  2. Spink, A.: ¬The effect of user characteristics on search outcome in mediated online searching (1993) 0.02
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    Source
    Online and CD-ROM review. 17(1993) no.5, S.275-278
  3. Spink, A.: Multiple search sessions model of end-user behaviour : an exploratory study (1996) 0.02
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    Abstract
    Discusses a multiple search session model of end users' interaction with information retrieval systems based on results from an exploratory study investigating end users' search sessions over time with OPACs or CD-ROM databases at different stages of their information seeking related to a current research project. Interviews were conducted with 200 academic end users to investigate the occurrence of multiple search sessions
  4. Spink, A.; Greisdorf, H.: Users' partial relevance judgements during online searching (1997) 0.02
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    Source
    Online and CD-ROM review. 21(1997) no.5, S.271-280
  5. Spink, A.; Cole, C.: New directions in cognitive information retrieval : introduction (2005) 0.02
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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.
  6. Zhang, Y.; Jansen, B.J.; Spink, A.: Identification of factors predicting clickthrough in Web searching using neural network analysis (2009) 0.01
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    Date
    22. 3.2009 17:49:11
  7. 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