GR6 - User Testing

Design:

Our final design is made up of a map and a sidebar.  The map contains visual representations of the dataset imported, and allows users to click on various areas of the map to get more information, manipulate and add towers.  It has all of the movement functionality of Google maps, as it uses Google's API.  The sidebar provides supplemental information to what is one the map.  There, users can change the visibility of the two data set layers, and view certain subsets of population and rainfall data.

Implementation:

For implementing the map and database behind ir we used Google's map and Fusion Tables APIs.....

Evaluation:

Briefing:

Imagine you are analyst at Boingo looking to make additions to your WiFi towers in South Africa.  You want to look at population and rainfall data in that region to find optimum places to add towers.  Already loaded into your interface, you have 3 already existing data sets, and one dataset of new additions.

Useful background information:

Satellites (going up in 2013-2014) will provide WiFi coverage over Africa, but their frequency range can't transmit signals through rain.  WiFi towers do work in rain.  Many African tribes are nomadic, moving around in search of water and food.  Your job is to find locations for new towers to maximize the number of people with WiFi access, taking into account the data.

Demo:

 http://www.youtube.com/watch?v=tfDULO83dpU

Tasks:

Task 1: View the relationships between two of these sets on the map.

Task 2: Find three regions without WiFi coverage, and add new towers there.

Task 3: Analyze their costs and move the most expensive towers to places with the highest population and lowest rainfall.

Reflection:

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