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Defining and Applying a Language for Discovery

Part of the Lecture Notes in Computer Science book series (LNISA,volume 8382)

Abstract

In order to design better search experiences, we need to understand the complexities of human information-seeking behaviour. In this paper, we propose a model of information behaviour based on the needs of users across a range of search and discovery scenarios. The model consists of a set of modes that that users employ to satisfy their information goals.

We discuss how these modes relate to existing models of human information seeking behaviour, and identify areas where they differ. We then examine how they can be applied in the design of interactive systems, and present examples where individual modes have been implemented in interesting or novel ways. Finally, we consider the ways in which modes combine to form distinct chains or patterns of behaviour, and explore the use of such patterns both as an analytical tool for understanding information behaviour and as a generative tool for designing search and discovery experiences.

Keywords

  • Information Seeking Behavior
  • Express Complex Patterns
  • Tweet View
  • Primary Workspace
  • Site Search

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Correspondence to Tony Russell-Rose .

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Russell-Rose, T., Lamantia, J., Makri, S. (2014). Defining and Applying a Language for Discovery. In: Nürnberger, A., Stober, S., Larsen, B., Detyniecki, M. (eds) Adaptive Multimedia Retrieval: Semantics, Context, and Adaptation. AMR 2012. Lecture Notes in Computer Science(), vol 8382. Springer, Cham. https://doi.org/10.1007/978-3-319-12093-5_1

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  • DOI: https://doi.org/10.1007/978-3-319-12093-5_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12092-8

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