CHI '86 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
ACM SIGIR Forum
Cone Trees: animated 3D visualizations of hierarchical information
CHI '91 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Graph drawing by force-directed placement
Software—Practice & Experience
Readings in information visualization: using vision to think
Readings in information visualization: using vision to think
A vector space model for automatic indexing
Communications of the ACM
The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations
VL '96 Proceedings of the 1996 IEEE Symposium on Visual Languages
The STARLIGHT information visualization system
IV '97 Proceedings of the IEEE Conference on Information Visualisation
Named entity recognition using an HMM-based chunk tagger
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
A simple rule-based part of speech tagger
HLT '91 Proceedings of the workshop on Speech and Natural Language
Named entity recognition through classifier combination
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
Introduction to Information Visualization
Introduction to Information Visualization
Fundamentals of Computer Graphics
Fundamentals of Computer Graphics
Hi-index | 0.00 |
This paper describes an approach towards the interaction with 3D representations of large document collections. The goal was to provide the user with a highly dynamic environment in which even the very mapping strategy to position documents in space can be adjusted by the user depending on the specific task at hand, on his preferences, or on the context. A modification to the FDP algorithm is proposed, as well as a new gesture-based interaction paradigm in which the user can explore and search information in the collection just by simple hand movements. An experimental user evaluation was conducted to investigate the impact of the proposed approach on the precision of the mental model built by users through exploration, on the effectiveness in information search tasks, and on the general user satisfaction and perception of utility.