Name
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-319-12093-5_1 | ADAPTIVE MULTIMEDIA RETRIEVAL: SEMANTICS, CONTEXT, AND ADAPTATION, AMR 2012 |
Field | DocType | Volume |
Data mining,World Wide Web,Information behaviour,Computer science | Conference | 8382 |
ISSN | Citations | PageRank |
0302-9743 | 0 | 0.34 |
References | Authors | |
9 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tony Russell-Rose | 1 | 10 | 6.53 |
| Joe Lamantia | 2 | 4 | 2.13 |
| Stephann Makri | 3 | 293 | 21.91 |