Published April 1, 2012
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Browsing Abstract Art by Appearance
Authors/Creators
- 1. Heriot Watt University
Description
In this paper we describe an innovative browsing system that improves on the navigation of a large set of objects which are either difficult to label or categorize. We use a two-stage process to obtain similarity information from humans, which then becomes the core of the system, this perceptual information is then used to create a resizable self-organizing map which comprises a matrix of image stacks that provides a fast, intuitive and highly visual navigation environment. We report the methods used to obtain the similarity data from observer to derive the navigation system and illustrate this with an example from the abstract art domain. This record was migrated from the OpenDepot repository service in June, 2017 before shutting down.
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References
- [1] Menon, S. and Kahn, B. 2002. Cross-Category effects of induced arousal and pleasure on the internet shopping experience. Journal of Business Research, Vol. 78, May, 31-40. [2] Deterding, S. and Sicart, M. and Nacke, L. and O'Hara, K. and Dixon, D. Gamification: Using Game Design Elements in Non-Gaming Contexts. 2011. Proceedings of the 2011 annual conference extended abstracts on Human factors in computing systems (CHI 2011), Vancouver, BC, Canada. [3] Surowiecki, J. 2004. The wisdom of crowds: why the many are smarter than the few and how collective wisdom shapes business, Economies, Societies and Nations. Doubleday, Anchor. [4] P. Korpipää and J. Remes. 2003. Website Navigation and Profiling Based on Self-organising Maps. Proceedings of the IJCAI'03 Workshop on Artificial Intelligence, Information Access, and Mobile Computing, pp. 59-64. [5] Halley, F. 2011. Perceptually Relevant Browsing Environments for Large Texture Databases. PhD Thesis, Heriot Watt University, Edinburgh , UK. [6] Ling, K. Beenen, G. Ludford, P. et al. 2005. Using Social Psychology to Motivate Contributions to Online Communities. Journal of Computer-Mediated Communication. 10, 4, part 10. [7] Padilla, S., Halley, F. and Chantler, M., 2011. Improving Product Browsing whilst Engaging Users. Digital Engagement '11, November 15-17, Newcastle, UK