similar images. The text printed on one of these suggests that the unknown person might be a politician, but it doesn’t mention his name. To resolve this, Ibrahim starts the context expander. This tool will deliver him the list of materials in which the images of the unknown person appear, such as newspaper articles, interviews, and commentaries. He can then study these materials himself to find further clues about the person’s identity.
User story 3: Can I publish this? Concept: Copyright Checker Ibrahim considers using one of the photos in a publication he is working on, together with other images: a scanned newspaper article, two scanned photographs, and one picture he found during an internet search. To perform a copyright clearance for his publication, Ibrahim decides to use the copyright checker. The checker will provide him with a detailed list of the rights owners and the copyright status for each of the images he wishes to publish. He selects his images and starts the checker; this will take a while, as the images must be compared with copyrighted material in many different repositories. Later today he will take a look at the results.
User story 4: Documenting the results Concept: Task Tracer Ibrahim is satisfied with his findings. He opens the task tracer to select the highlights of his search, in particular the actions he performed to learn where the first photo was taken. The task tracer will store these actions, including the results, inside the dossier. In the future Ibrahim and his colleagues will be able to return to the dossier and trace back the tasks that he performed. On the one hand this makes it more transparent to himself and to others what he did to reach his conclusions. On the other hand his colleagues can use his searches as a starting point for their own research.
Comment The five user stories demonstrate to the domain experts what is feasible in the near future and how it may support their work, but they do not offer insight into the long-term technical possibilities. To inspire the domain experts and to discuss these possibilities an approximately ten-minute video was used. In this video7 a concept was shown from the field of tourism, called Near2Me (Kofler et al., 2011). From this concept we selected three advanced features that could be applied to the domain experts’ work: a flexible browsing environment with different but connected views on multimedia search results, expert chroniclers (heavy-contributors), and personalized recommendations.
7 The video can be viewed on YouTube: http://www.youtube.com/watch?v=EFctxF4ElR8. CUbRIK Metadata Models
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