Ame Elliott
ABSTRACT
Current user interfaces for image search are not successful at supporting architects' information access needs because they 1) do not recognize the context of architectural design, and 2) require complex textual queries that often result in either too many or too few images. This paper describes a new approach: using metadata about the images to aid search by generating dynamic query previews. Previews will help users visualize the contents of the collection, aid in making queries both more general and more specific, and help them to follow an information scent through a collection by giving them hints about where to go next. This paper describes a prototype system and plans for evaluation.
- Elliott, A. and Hearst, M. A. A Comparison of the Affordances of a Digital Desk and Tablet for Sketching and Image Sorting Tasks (in preparation).Google Scholar
- Elliott, A. Computers for Architects, Qualifying Examination Paper, Department of Architecture, University of California, Berkeley, 1999.Google Scholar
- Hearst, M. A. Next Generation Web Search: Setting Our Sites, IEEE Data Engineering Bulletin vol. 23, no. 3, September 2000.Google Scholar
- Plaisant, C., Shneiderman, B., Doan, K., and Bruns, T. Interface and Data Architecture for Query Preview in Networked Information Systems, ACM Transactions on Information Systems 17(3), 1999. Google ScholarDigital Library
- Rekimoto, J. and Saitoh, M. Augmented Surfaces: A Spatially Continuous Work Space for Hybrid Computing Environments, in Proceedings of CHI'99, pp 378-385. Google ScholarDigital Library
Index Terms
- Flamenco image browser: using metadata to improve image search during architectural design
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