Journal
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
Volume 20, Issue 12, Pages 1823-1832Publisher
IEEE COMPUTER SOC
DOI: 10.1109/TVCG.2014.2346747
Keywords
visual analytics; portfolio mining; web-based visualization; casual visualization; design study
Categories
Funding
- U.S. National Science Foundation [TUES-1123108, TUES-1122609, TUES-1123340]
- Direct For Education and Human Resources
- Division Of Undergraduate Education [1123340] Funding Source: National Science Foundation
- Division Of Undergraduate Education
- Direct For Education and Human Resources [1444277, 1123108] Funding Source: National Science Foundation
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We present a design study of the Deep Insights Anywhere, Anytime (DIA2) platform, a web-based visual analytics system that allows program managers and academic staff at the U.S. National Science Foundation to search, view, and analyze their research funding portfolio. The goal of this system is to facilitate users' understanding of both past and currently active research awards in order to make more informed decisions of their future funding. This user group is characterized by high domain expertise yet not necessarily high literacy in visualization and visual analytics they are essentially casual experts and thus require careful visual and information design, including adhering to user experience standards, providing a self-instructive interface, and progressively refining visualizations to minimize complexity. We discuss the challenges of designing a system for casual experts and highlight how we addressed this issue by modeling the organizational structure and workflows of the NSF within our system. We discuss each stage of the design process, starting with formative interviews, prototypes, and finally live deployments and evaluation with stakeholders.
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