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  • × author_ss:"Spink, A."
  1. He, S.; Spink, A.: ¬A comparison of foreign authorship distribution in JASIST and the Journal of Documentation (2002) 0.02
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    Abstract
    He and Spink count the first authors in JASIST and JDoc from 1950 to 1999 whose affiliation is outside the country of origin of each publication and record the time period and the author's geographic location. Foreign authorship in JASIST increased nearly four fold from 1995 to 1999 and the number of represented locations 3.6 times while in the same time period JDoc's foreign authorship doubled and foreign locations increased four fold. The largest foreign location for JDoc is the USA and the largest foreign location for JASIST is the UK. Canada is second on both lists.
    Source
    Journal of the American Society for Information Science and Technology. 53(2002) no.11, S.953-959
  2. Zhang, Y.; Jansen, B.J.; Spink, A.: Identification of factors predicting clickthrough in Web searching using neural network analysis (2009) 0.02
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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
  3. Spink, A.; Cole, C.: Human information behavior : integrating diverse approaches and information use (2006) 0.02
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    Abstract
    For millennia humans have sought, organized, and used information as they learned and evolved patterns of human information behaviors to resolve their human problems and survive. However, despite the current focus an living in an "information age," we have a limited evolutionary understanding of human information behavior. In this article the authors examine the current three interdisciplinary approaches to conceptualizing how humans have sought information including (a) the everyday life information seeking-sense-making approach, (b) the information foraging approach, and (c) the problem-solution perspective an information seeking approach. In addition, due to the lack of clarity regarding the rote of information use in information behavior, a fourth information approach is provided based an a theory of information use. The use theory proposed starts from an evolutionary psychology notion that humans are able to adapt to their environment and survive because of our modular cognitive architecture. Finally, the authors begin the process of conceptualizing these diverse approaches, and the various aspects or elements of these approaches, within an integrated model with consideration of information use. An initial integrated model of these different approaches with information use is proposed.
    Source
    Journal of the American Society for Information Science and Technology. 57(2006) no.1, S.25-35
  4. Ellis, D.; Wilson, T.D.; Ford, N.; Foster, A.; Lam, H.M.; Burton, R.; Spink, A.: Information seeking and mediated searching : Part 5: user-intermediary interaction (2002) 0.02
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    Abstract
    Ellis, et alia, now provide part five of their study on mediated searching which is treated separately here because of the presence of additional authors. The data source remains cases collected from 198 individuals, 87 in Texas and 111 in Sheffield in the U.K. but the focus here is on seeker/intermediary interaction utilizing the Saracevic triadic IR model, and the method is the analysis of discourse. While the pre-search interview stressed problem definition, interaction during the search in terms of relevance and magnitude continued to develop the problem statement. The user and intermediary focused on search tactics, review and relevance, while the intermediary interaction with the system was comprised of terminology and answers. The interaction clearly affected the search process. Users and intermediaries considered the process effective and users felt the intermediary increased their overall satisfaction.
    Source
    Journal of the American Society for Information Science and Technology. 53(2002) no.11, S.883-892
  5. Spink, A.; Cole, C.: ¬A multitasking framework for cognitive information retrieval (2005) 0.02
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    Abstract
    Information retrieval (IR) research has developed considerably since the 1950's to include consideration of more cognitive, interactive and iterative processes during the interaction between humans and IR or Web systems (Ingwersen, 1992, 1996). Interactive search sessions by humans with IR systems have been depicted as interactive IR models (Saracevic, 1997). Human-IR system interaction is also modeled as taking place within the context of broader human information behavior (HIB) processes (Spink et al., 2002). Research into the human or cognitive (user modeling) aspects of IR is a growing body of research on user interactivity, task performance and measures for observing user interactivity. The task context and situational characteristics of users' searches and evaluation have also been identified as key elements in a user's interaction with an IR system (Cool and Spink, 2002; Vakkari, 2003). Major theorized interactive IR models have been proposed relating to the single search episode, including Ingwersen's (1992,1996) Cognitive Model of IR Interaction, Belkin et al.'s (1995) Episodic Interaction Model, and Saracevic's (1996,1997) Stratified Model of IR Interaction. In this chapter we examine Saracevic's Stratified Model of IR Interaction and extend the model within the framework of cognitive IR (CIR) to depict CIR as a multitasking process. This chapter provides a new direction for CIR research by conceptualizing IR with a multitasking context. The next section of the chapter defines the concept of multitasking in the cognitive sciences and Section 3 discusses the emerging understanding of multitasking information behavior. In Section 4, cognitive IR is depicted within a multitasking framework using Saracevic's (1996, 1997) Stratified Model of IR Interaction. In Section 5, we link information searching and seeking models together, via Saracevic's Stratified Model of IR Interaction, but starting with a unitask model of HIB. We begin to model multitasking in cognitive IR in Section 6. In Sections 7 and 8, we increase the complexity of our developing multitasking model of cognitive IR by adding coordinating mechanisms, including feedback loops. Finally, in Section 9, we conclude the chapter and indicate future directions for further research.
    Date
    19. 1.2007 12:55:22
    Pages
    S.99-112
  6. Khopkar, Y.; Spink, A.; Giles, C.L.; Shah, P.; Debnath, S.: Search engine personalization : An exploratory study (2003) 0.00
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  7. Griesdorf, H.; Spink, A.: Median measure : an approach to IR systems evaluation (2001) 0.00
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    Source
    Information processing and management. 37(2001) no.6, S.843-857
  8. Spink, A.: Information and a sustainable future (1995) 0.00
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    Source
    Libri. 45(1995) nos.3/4, S.203-208
  9. Spink, A.; Greisdorf, H.: Partial relevance judgements and changes in users information problems during online searching (1997) 0.00
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    Pages
    S.323-334
  10. Wolfram, D.; Spink, A.; Jansen, B.J.; Saracevic, T.: Vox populi : the public searching of the Web (2001) 0.00
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    Source
    Journal of the American Society for Information Science and technology. 52(2001) no.12, S.1073-1074
  11. Jansen, B.J.; Spink, A.; Saracevic, T.: Real life, real users and real needs : a study and analysis of users queries on the Web (2000) 0.00
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    Source
    Information processing and management. 36(2000) no.2, S.207-227
  12. Spink, A.: Interactive information seeking and retrieving : a third feedback framework (1996) 0.00
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    Pages
    S.10-15
    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
  13. Ozmutlu, S.; Spink, A.; Ozmutlu, H.C.: ¬A day in the life of Web searching : an exploratory study (2004) 0.00
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    Source
    Information processing and management. 40(2004) no.2, S.319-345
  14. Ozmutlu, S.; Spink, A.; Ozmutlu, H.C.: Multimedia Web searching trends : 1997-2001 (2003) 0.00
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    Source
    Information processing and management. 39(2003) no.4, S.611-621
  15. Spink, A.; Saracevic, T.: Dynamics of search term selection during mediated online searching (1993) 0.00
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    Pages
    S.63-72
    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
  16. Spink, A.; Park, M.; Koshman, S.: Factors affecting assigned information problem ordering during Web search : an exploratory study (2006) 0.00
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    Source
    Information processing and management. 42(2006) no.5, S.1366-1378
  17. Spink, A.; Saracevic, T.: Where do the search terms come from? (1992) 0.00
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    Pages
    S.363-373
  18. 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) 0.00
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    Pages
    S.67-71
  19. Spink, A.: ¬The effect of user characteristics on search outcome in mediated online searching (1993) 0.00
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    Source
    Online and CD-ROM review. 17(1993) no.5, S.275-278
  20. Spink, A.: Multiple search sessions model of end-user behaviour : an exploratory study (1996) 0.00
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    Source
    Journal of the American Society for Information Science. 47(1996) no.8, S.603-609

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