This publication is made freely available under ______ __ open access. AUTHOR(S): TITLE: YEAR: Publisher citation: OpenAIR citation: Publisher copyright statement: This is the ______________________ version of an article originally published by ____________________________ in __________________________________________________________________________________________ (ISSN _________; eISSN __________). OpenAIR takedown statement: Section 6 of the “Repository policy for OpenAIR @ RGU” (available from http://www.rgu.ac.uk/staff-and-current- students/library/library-policies/repository-policies) provides guidance on the criteria under which RGU will consider withdrawing material from OpenAIR. If you believe that this item is subject to any of these criteria, or for any other reason should not be held on OpenAIR, then please contact
[email protected] with the details of the item and the nature of your complaint. This publication is distributed under a CC ____________ license. ____________________________________________________ ANALYSING CREATIVE IMAGE SEARCH INFORMATION NEEDS Elena Konkova1, Andrew MacFarlane1 and Ayse Goker2 1Department of Computer Science, City University London, London EC1V 0HB 2School of Computing Science and Digital Media, Robert Gordon University, Garthdee Road, Aberdeen, AB10 7QB ABSTRACT 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.