Original Article
Information Visualization (2009) 8, 30–41. doi:10.1057/ivs.2008.30
Using visual analytics to develop situation awareness in astrophysics
Cecilia R Aragon1, Sarah S Poon1, Gregory S Aldering2, Rollin C Thomas2 and Robert Quimby3
- 1Computational Research Division, Lawrence Berkeley National Laboratory, One Cyclotron Road, MS 50B-2239, Berkeley, CA 94720, USA
- 2Physics Division, Lawrence Berkeley National Laboratory, One Cyclotron Road, Berkeley, CA 94720, USA
- 3Astronomy Deptartment, California Institute of Technology, Pasadena, CA 91125, USA
Correspondence: Cecilia R Aragon, E-mail: CRAragon@Ibl.gov
Received 9 November 2008; Accepted 22 November 2008.
Abstract
We present a novel collaborative visual analytics application for cognitively overloaded users in the astrophysics domain. The system was developed for scientists who need to analyze heterogeneous, complex data under time pressure, and make predictions and time-critical decisions rapidly and correctly under a constant influx of changing data. The Sunfall Data Taking system utilizes several novel visualization and analysis techniques to enable a team of geographically distributed domain specialists to effectively and remotely maneuver a custom-built instrument under challenging operational conditions. Sunfall Data Taking has been in production use for 2 years by a major international astrophysics collaboration (the largest data volume supernova search currently in operation), and has substantially improved the operational efficiency of its users. We describe the system design process by an interdisciplinary team, the system architecture and the results of an informal usability evaluation of the production system by domain experts in the context of Endsley's three levels of situation awareness.
Keywords:
data and knowledge visualization, scientific visualization, scientific analytics, visual analytics, situation awareness, astrophysics
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