Document (#34969)

Author
Shenton, A.K.
Title
Search images, information seeking and information literacy
Source
Library review. 58(2009) no.2, S.109-115
Year
2009
Abstract
Purpose - The purpose of this paper is to explore the applicability to information behaviour contexts of the notion of a "search image", a mental entity highlighted in a significant anthropological study appearing in the 1990s. Design/methodology/approach - The paper considers search images of information-seekers by exploring hypothetical situations and using source material pertaining to areas such as information systems, information retrieval, information-seeking and the nature of libraries. Findings - Two types of search image are postulated - those taking the form of a visual memory of a particular source and those providing a detailed specification of material required in a certain situation. Research limitations/implications - The definition of a search image presented here has not been evolved through research featuring specially-undertaken fieldwork. New studies, incorporating individual interviews or think aloud protocols, should be conducted in order to address a series of emergent questions relating to search images. Practical implications - When more has been learned about the characteristics of search images of successful information-seekers, it may be possible to build into programmes of information literacy prompts that will help individuals to clarify in their minds what they require before embarking on an information search. Originality/value - Intended for information practitioners and academics alike, the paper forms the first attempt to apply a particular concept originating outside the discipline, i.e. that of a search image, to information-seeking situations. Attention to search images has the potential to increase one's understanding of how individuals find information, as well as to add a further dimension to information literacy instruction.
Theme
Informationsdienstleistungen

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  5. Hoque, E.; Hoeber, O.; Gong, M.: CIDER: Concept-based image diversification, exploration, and retrieval (2013) 0.16
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