The dynamic HomeFinder: evaluating dynamic queries in a real-estate information exploration system
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Visual information seeking: tight coupling of dynamic query filters with starfield displays
CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The alphaslider: a compact and rapid selector
CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
From highly relevant to not relevant: examining different regions of relevance
Information Processing and Management: an International Journal
Searching the Web: the public and their queries
Journal of the American Society for Information Science and Technology
An Architecture-Based Approach to Self-Adaptive Software
IEEE Intelligent Systems
Jigsaw: supporting investigative analysis through interactive visualization
Information Visualization
Information-Seeking Support Systems
Computer
Electronic resource discovery systems: from user behaviour to design
Proceedings of the 6th Nordic Conference on Human-Computer Interaction: Extending Boundaries
Proceedings of the 28th Annual European Conference on Cognitive Ergonomics
INVISQUE: intuitive information exploration through interactive visualization
CHI '11 Extended Abstracts on Human Factors in Computing Systems
Content-based layouts for exploratory metadata search in scientific research data
Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries
Visual-interactive querying for multivariate research data repositories using bag-of-words
Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries
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When a user knows exactly what they are looking for most library systems are adequate for their needs. However, when the user's information needs are ill-defined - traditional library systems prove inadequate. This is because traditional library systems are not designed to support sense making rather for information retrieval. Visual analytics is the science of analytical reasoning facilitated by interactive visualizations and visual analytics systems can support both sense making and information retrieval. In this paper, we present INVISQUE - an approach and experimental software for interactive visual search and query. INVISQUE uses an index card metaphor to display library content, organized in a way that visually integrates attributes such citations and date published, making it easy to pick out the most recent and most cited paper. It uses design techniques such as focus+context to reveal relationships between documents, while avoiding the "what-was-I-lookingfor?" problem.