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Nzuri
Group Members
- Rebecca Odim
- Sarah Rumbley
- Maja Wichrowska
- TA: Juho Kim, juhokim@mit.edu
Problem Statement
With increasingly powerful computers, the problem of visualizing large, complex data sets is central to empowering intelligence analysts to make informed decisions. With respect to the context of UI as applied to human-computer interaction (HCI), very few applications demonstrate the mission-centric criticality and power of good design than intelligence software. There are currently several tools available to analysts, one of the most prominent being i2's Analyst's Notebook. Although Analyst's Notebook is somewhat lagging in its user interface, i2's recent acquisition by IBM means that it will have the most powerful computational back-end of all data analysis tools. For our project, we will explore ways to design an improved GUI as a web application on top of Analyst's Notebook. Building off of existing data visualization frameworks, we will address usability problems in the way users interact with visualizations. To guide our efforts, we will focus on a specific case study of data sets concerning WiFi networks in Africa.
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Boingo, a global market leader in WiFi, is seeking to expand into Africa to allow more of the population to use VoIP as a primary means of communication. To improve their coverage, Boingo needs to find the most optimal locations to build WiFi towers by analyzing demographic and weather data. We will design a user interface for data visualization with Boingo's problem in mind.