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  • × author_ss:"Xu, Y."
  • × theme_ss:"Suchtaktik"
  1. Xu, Y.: ¬The dynamics of interactive information retrieval behavior : part I: an activity theory perspective (2007) 0.02 
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    Abstract
    Human information-seeking behavior is a topic of increasing interest in many disciplines. However, the dynamics of this behavior remain elusive. The extant research has taken cognitive and behavioral perspectives to study information-seeking behavior, and observed its dynamics in multiple sessions. However, the underlying mechanisms that govern the dynamics of information-seeking behavior are not well understood. With a focus on interactive information retrieval behavior, this study proposes an integrated framework based on activity theory. This framework is not only comprehensive and integrated, but also offers an explanation of the mechanisms governing the interaction between users' cognitive states and their manifested behavior when using an information retrieval system. A set of four propositions are advanced to describe the mechanisms. The implications are discussed.
    Date
    27. 5.2007 13:55:22
    Type
    a
  2. Xu, Y.; Liu, C.: ¬The dynamics of interactive information retrieval : part II: an empirical study from the activity theory perspective (2007) 0.00 
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    Abstract
    Human information-seeking behavior is complicated. Activity theory is a powerful theoretical instrument to untangle the "complications." Based on activity theory, a comprehensive framework is proposed in Part I (Y. Xu, 2007) of this report to describe interactive information retrieval (IIR) behavior. A set of propositions is also proposed to describe the mechanisms governing users' cognitive activity and the interaction between users' cognitive states and manifested retrieval behavior. An empirical study is carried out to verify the propositions. The authors' experimental simulation of 81 participants in one search session indicates the propositions are largely supported. Their findings indicate IIR behavior is planned. Users adopt a divide-and-conquer strategy in information retrieval. The planning of information retrieval activity is also partially manifested in query revision tactics. Users learn from previously read documents. A user's interaction with a system ultimately changes the user's information need and the resulting relevance judgment, but the dynamics of topicality perception and novelty perception occur at different paces.
    Type
    a