Abstract
Web-based data analysis environments are powerful platforms for exploring large data sets. To ensure that these environments meet the needs of analysts, a human-centered perspective is needed. Interfaces to these platforms should provide flexible search, support user-generated content, and enable collaboration. We report on our efforts to design and develop a web interface for a custom analytics platform—EPIC Analyze—which provides interactive search over large Twitter data sets collected during crisis events. We performed seven think-aloud sessions with researchers who regularly analyze crisis data sets and compiled their feedback. They identified a need for a “big picture” view of an event, flexible exporting capabilities, and user-defined coding schemes. Adding these features allowed EPIC Analyze to meet the needs of these analysts and enable exploratory research on crisis data.
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Barrenechea, M., Anderson, K.M., Aydin, A.A., Hakeem, M., Jambi, S. (2015). Getting the Query Right: User Interface Design of Analysis Platforms for Crisis Research. In: Cimiano, P., Frasincar, F., Houben, GJ., Schwabe, D. (eds) Engineering the Web in the Big Data Era. ICWE 2015. Lecture Notes in Computer Science(), vol 9114. Springer, Cham. https://doi.org/10.1007/978-3-319-19890-3_35
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