Planned intervention: On Thursday 19/09 between 05:30-06:30 (UTC), Zenodo will be unavailable because of a scheduled upgrade in our storage cluster.
Published July 13, 2015 | Version v1
Presentation Open

Analysing creative image search information needs

  • 1. City University, London
  • 2. City University London

Description

Creative professionals in advertising, marketing, design and journalism search for images to visually represent a concept for their project. The main purpose of this paper is to present an analysis of documents known as briefs to find search facets, which are widely used in creative industries as a requirements document to describe an information need. The briefs specify the type of image required, such as the content and context of use for the image, and represent the topic from which the searcher builds an image query. This research takes three main sources – user image search behaviour, briefs, search engine meta-data – to examine the search facets for image searching in order to examine the following research question - are meta-data schemes for image search engines sufficient for user needs, or is revision needed? This research found that there are three main classes of user search facet, which include business, contextual and image related information. The key argument in the paper is that the facet ‘keyword/tag’ is ambiguous and does not support user needs for more generic descriptions to broaden search or specific descriptions to narrow their search – we suggest that a more detailed search facet scheme would be appropriate.

Files

2015-07-13-slides-ISKOUK-Conference-EKonkova.pdf

Files (379.0 kB)

Name Size Download all
md5:97ec5edc514b273e599299232238988b
379.0 kB Preview Download

Additional details

Related works

Is supplemented by
Conference paper: 10.5281/zenodo.10578295 (DOI)
Video/Audio: 10.5281/zenodo.10578328 (DOI)