http://de.evo-art.org/index.php?action=history&feed=atom&title=Experiments_in_Objet_Trouv%C3%A9_Browsing 2026-04-23T12:59:42Z Versionsgeschichte dieser Seite in de_evolutionary_art_org MediaWiki 1.27.4 http://de.evo-art.org/index.php?title=Experiments_in_Objet_Trouv%C3%A9_Browsing&diff=859&oldid=prev 2014-11-02T20:01:16Z

<p>Die Seite wurde neu angelegt: „ == Reference == Colton, S., Gow, J., Torres, P., Cairns, P.: Experiments in Objet Trouvé Browsing. In: Conference on Computational Creativity, pp. 238–247 …“</p> <p><b>Neue Seite</b></p><div><br /> == Reference ==<br /> Colton, S., Gow, J., Torres, P., Cairns, P.: Experiments in Objet Trouvé Browsing. In: Conference on Computational Creativity, pp. 238–247 (2010). <br /> <br /> == DOI ==<br /> <br /> == Abstract ==<br /> We report on two experiments to study the use of a graphic<br /> design tool for generating and selecting image filters, in which the aes-<br /> thetic preferences that the user expresses whilst browsing filtered images<br /> drives the filter generation process. In the first experiment, we found ev-<br /> idence for the idea that intelligent employment of the user’s preferences<br /> when generating filters can improve the overall quality of the designs<br /> produced, as assessed by the users themselves. The results also suggest<br /> some user behaviours related to the fidelity of the image filters, i.e., how<br /> much they alter the image they are applied to. A second experiment<br /> tested whether evolutionary techniques which manage fidelity would be<br /> preferred by users. Our results did not support this hypothesis, which<br /> opens up interesting questions about how user preferences can be intel-<br /> ligently employed in browsing-based design tools.<br /> <br /> == Extended Abstract ==<br /> <br /> == Bibtex == <br /> <br /> == Used References ==<br /> 1. M Andre, M Schraefel, J Teevan, and S Dumais. Designing for (un)serendipity. In<br /> Proceedings of the 7th ACM Creativity and Cognition Conference, 2009.<br /> <br /> 2. S Boyd Davis and M Moar. The amateur creator. In Proceedings of the 5th ACM<br /> Conference on Creativity and Cognition., 2005.<br /> <br /> 3. S Colton and P Torres. Evolving approximate image filters. In Proceedings of the<br /> Evolutionary Art and Music Workshop, EvoMUSART, 2009.<br /> <br /> 4. J Gero and M Maher. Mutation and analogy to support creativity in computer-aided<br /> design. In Proceedings of CAAD Futures, 1991.<br /> <br /> 5. P Machado and A Cardoso. NEvAr – The assessment of an evolutionary art tool.<br /> In Proc. AISB Symp. on Creative and Cultural Aspects of AI and Cog. Sci., 2000.<br /> <br /> 6. G Ritchie. Some empirical criteria for attributing creativity to a computer program.<br /> Minds and Machines, 17:67–99, 2007.<br /> <br /> 7. J Romero and P Machado, editors. The Art of Artificial Evolution: A Handbook on<br /> Evolutionary Art and Music. Springer, 2007.<br /> <br /> 8. D Schon and G Wiggins. Kinds of seeing and their functions in designing. Design<br /> Studies, 13(2):135–156, 1992.<br /> <br /> 9. B Schneiderman. Creativity support tools: Accelerating discovery and innovation.<br /> Communications of the ACM, 50(12):20–32, 2007.<br /> <br /> 10. I Takeshi, O Jun, M Koji, and M Satoshi. Studies on user adaptive browsing<br /> system on the internet. SIG-KBS, 43:81–86, 1999.<br /> <br /> 11. P Torres, S Colton, and S R ̈uger. Experiments in example-based image filter<br /> retrieval. In Proceedings of the SAMT Cross-Media Workshop, 2008.<br /> <br /> <br /> == Links ==<br /> === Full Text === <br /> http://www.doc.ic.ac.uk/~jgow/papers/iccc10.pdf<br /> <br /> <br /> [[intern file]]<br /> <br /> === Sonstige Links ===</div>

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