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The concepts of information seeking, information retrieval, and information behaviour are objects of investigation of information science. Within this scientific discipline a variety of studies has been undertaken analyzing the interaction of an individual with information sources in case of a specific information need, task, and context. The ...
The comprehensive model of information seeking, or CMIS, is a theoretical construct designed to predict how people will seek information. It was first developed by J. David Johnson and has been utilized by a variety of disciplines including library and information science and health communication .
Introduced in 1991, Kuhlthau's model of the Information Search Process (ISP) describes feelings, thoughts and actions in six stages of information seeking. [4] [5] The model of the ISP introduced the holistic experience of information seeking from the individual’s perspective, stressed the important role of affect in information seeking and proposed an uncertainty principle as a conceptual ...
TMIM analyzes whether an individual will engage in information seeking within the first place and also assess the role of the information provider. The theory posits that individuals are "motivated to manage their uncertainty levels when they perceive a discrepancy between the level of uncertainty they have about an important issue and the ...
Information seeking can also be called “active communication behavior.” Actively communicating members of publics look for information and try to understand it when they obtain the information. Thus, publics whose members seek information become aware publics more often than publics whose members do not communicate or who only process ...
Information-seeking behavior is a more specific concept of information behavior. It specifically focuses on searching, finding, and retrieving information. Information-seeking behavior research can focus on improving information systems or, if it includes information need, can also focus on why the user behaves the way they do.
The foundation of the uncertainty reduction theory stems from the information theory, originated by Claude E. Shannon and Warren Weaver. [2] Shannon and Weaver suggests, when people interact initially, uncertainties exist especially when the probability for alternatives in a situation is high and the probability of them occurring is equally high. [6]
Another way in which cognitive models of information may help in information retrieval is with natural language searching. For instance, How Stuff Works imagines a world in which, rather than searching for local movies, reading the reviews, then searching for local Mexican restaurants, and reading their reviews, you will simply type ""I want to ...