Abstract
Although intelligence analysts are one of the main target users of visual analytics systems, we still do not understand their work practices and methodologies well. The lack of understanding about how intelligence analysts work and how they can benefit from visual analytics systems has created a gap between tools being developed and real world practices. I argue that we need a better understanding of these analysts and their tool usage to build systems that better support their tasks and add utility to their work practices. By characterizing the analysis process and identifying leverage points for systems through empirical studies, I ultimately seek to develop a set of design guidelines and implications that can be used for building visual analytics systems for intelligence analysis.
| Original language | English |
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| Title of host publication | CHI EA 2011 - 29th Annual CHI Conference on Human Factors in Computing Systems, Conference Proceedings and Extended Abstracts |
| Publisher | Association for Computing Machinery |
| Pages | 1025-1028 |
| Number of pages | 4 |
| ISBN (Print) | 9781450302289 |
| DOIs | |
| Publication status | Published - 2011 |
Publication series
| Name | Conference on Human Factors in Computing Systems - Proceedings |
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Bibliographical note
Funding Information:We acknowledge M. Whitehouse, K. Lind?n, L. Ilyinsky and the NordSIM staff at the Swedish Museum of Natural History, C.C. Wohlgemuth-Ueberwasser of the PetroTectonics Analytical Facility at Stockholm University and M. Pecha, C. White and the LaserChron staff at the University of Arizona all for their help and support in collecting zircon isotopic data. M. Ahlbom of the Stockholm University electron probe facilities is thanked for her assistance with collecting the EDS/CL data. The Too loo uk River Guides are thanked for field support on the John River. S. Aarons and C. Aarons are thanked for assistance with sample collection, processing and field transport. Field and analytical costs were supported by NSF EAR Tectonics Awards 0948673 and 1624582 to E. Miller and a Circum-Arctic Lithospheric Evolution (CALE) field grant. C. Hoiland acknowledges support from the NSF Graduate Research Fellowship Program (Grant No. DGE-4747), including a Graduate Research Opportunities Worldwide (GROW) travel grant. V. Pease acknowledges funding support from the Swedish Research Council. The PetroTectonics Analytical Facility at Stockholm University was established with funding from the Knut and Alice Wallenberg Foundation. At the time of the analyses, the NordSIM facility was funded by the research councils of Denmark, Norway and Sweden, the Geological Survey of Finland and the Swedish Museum of Natural History. The Arizona LaserChron Center was supported by NSF grant EAR-1032156. This paper was significantly improved by thorough and constructive reviews by T. Moore and L. Beranek. B. Coakley is thanked for editorial handling. We benefited from many helpful discussions regarding the geology of Arctic Alaska with T. Moore, A. Till, J. Toro, R. Harris, B. McClelland, S. Bergman, K. Meisling, J. Strauss, B. Johnson, E. Gottlieb, K. Brumley and T. O?Brien. This is NordSIM Contribution No. 488.
All Science Journal Classification (ASJC) codes
- Software
- Human-Computer Interaction
- Computer Graphics and Computer-Aided Design