@conference {17498,
	title = {Visualization methods for personal photo collections: browsing and searching in the PhotoFinder},
	booktitle = {2000 IEEE International Conference on Multimedia and Expo, 2000. ICME 2000},
	volume = {3},
	year = {2000},
	month = {2000///},
	pages = {1539-1542 vol.3 - 1539-1542 vol.3},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {Software tools for personal photo collection management are proliferating, but they usually have limited searching and browsing functions. We implemented the PhotoFinder prototype to enable non-technical users of personal photo collections to search and browse easily. PhotoFinder provides a set of visual Boolean query interfaces, coupled with dynamic query and query preview features. It gives users powerful search capabilities. Using a scatter plot thumbnail display and drag-and-drop interface, PhotoFinder is designed to be easy to use for searching and browsing photos},
	keywords = {Browsing, Computer science, digital photo library, Displays, drag-and-drop interface, dynamic query, Educational institutions, Filters, Histograms, Image retrieval, personal computing, personal photo collections, photo collection management, PhotoFinder, Prototypes, query preview, scatter plot thumbnail display, Scattering, searching, software libraries, software tools, User interfaces, visual Boolean query interfaces, visual databases, Visualization, visualization methods},
	isbn = {0-7803-6536-4},
	doi = {10.1109/ICME.2000.871061},
	author = {Kang,Hyunmo and Shneiderman, Ben}
}
@article {16165,
	title = {Interface and data architecture for query preview in networked information systems},
	journal = {ACM Trans. Inf. Syst.},
	volume = {17},
	year = {1999},
	month = {1999/07//},
	pages = {320 - 341},
	abstract = {There are numerous problems associated with formulating queries onnetworked information systems. These include increased data volume and complexity, accompanied by slow network access. This article proposes a new approach to a network query user interfaces that consists of two phases: query preview and query refinement. This new approach is based on the concepts of dynamic queries and query previews, which guides users in rapidly and dynamically eliminating undesired records, reducing the data volume to a manageable size, and refining queries locally before submission over a network. Examples of two applications are given: a Restaurant Finder and a prototype for NASA{\textquoteright}s Earth Observing Systems Data Information Systems (EOSDIS). Data architecture is discussed, and user feedback is  presented.
},
	keywords = {direct manipulation, dynamic query, EOSDIS, graphical user interface, query preview, query refinement, science data},
	isbn = {1046-8188},
	doi = {10.1145/314516.314522},
	url = {http://doi.acm.org/10.1145/314516.314522},
	author = {Plaisant, Catherine and Shneiderman, Ben and Doan,Khoa and Bruns,Tom}
}
@conference {16196,
	title = {Query previews in networked information systems: the case of EOSDIS},
	booktitle = {CHI {\textquoteright}97 extended abstracts on Human factors in computing systems: looking to the future},
	series = {CHI EA {\textquoteright}97},
	year = {1997},
	month = {1997///},
	pages = {202 - 203},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {Dynamic queries have been shown to be an effective technique to browse information, and to find patterns and exceptions. Dynamic queries involve the interactive control by a user of visual query parameters that generate rapid (100 ms update), animated, and visual displays of database search results. The data of early implementations was stored in local memory to guarantee optimal speed. Problems arise when the data is very large and distributed over a network. To overcome the problems of slow networks and data volume we propose a two-phase approach to query formulation using query previews and query refinements [1]. Preview mechanisms have been used in the past [2] and we believe that their use will be a major component of successful networked information systems interfaces (e.g. [3]).},
	keywords = {direct manipulation, dynamic query, earth science, network information system, query preview, Visualization},
	isbn = {0-89791-926-2},
	doi = {10.1145/1120212.1120343},
	url = {http://doi.acm.org/10.1145/1120212.1120343},
	author = {Plaisant, Catherine and Bruns,Tom and Shneiderman, Ben and Doan,Khoa}
}
@conference {17335,
	title = {Query previews in networked information systems},
	booktitle = {Proceedings of the Third Forum on Research and Technology Advances in Digital Libraries, 1996. ADL {\textquoteright}96},
	year = {1996},
	month = {1996/05/13/15},
	pages = {120 - 129},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {In a networked information system (such as the NASA Earth Observing System-Data Information System (EOS-DIS)), there are three major obstacles facing users in a querying process: network performance, data volume and data complexity. In order to overcome these obstacles, we propose a two phase approach to query formulation. The two phases are the Query Preview and the Query Refinement. In the Query Preview phase, users formulate an initial query by selecting rough attribute values. The estimated number of matching data sets is shown, graphically on preview bars which allows users to rapidly focus on a manageable number of relevant data sets. Query previews also prevent wasted steps by eliminating zero hit queries. When the estimated number of data sets is long enough, the initial query is submitted to the network which returns the metadata of the data sets for further refinement in the Query Refinement phase. The two phase approach to query formulation overcomes slow network performance, and reduces the data volume and data complexity, problems. This approach is especially appropriate for users who do not have extensive knowledge about the data and who prefer an exploratory method to discover data patterns and exceptions. Using this approach, we have developed dynamic query user interfaces to allow users to formulate their queries across a networked environment},
	keywords = {Computer networks, data complexity, data mining, data patterns, data volume, dynamic query user interfaces, Educational institutions, EOS-DIS, exploratory method, Information retrieval, Information services, Information systems, Intelligent networks, interactive systems, Laboratories, Manipulator dynamics, matching data sets, NASA Earth Observing System-Data Information System, Network performance, networked environment, networked information systems, query formulation, query preview, query refinement, querying process, rough attribute values, User interfaces, visual databases, zero hit queries},
	isbn = {0-8186-7403-2},
	doi = {10.1109/ADL.1996.502522},
	author = {Donn,K. and Plaisant, Catherine and Shneiderman, Ben}
}
