Potential outcome for this brief:
I am currently exploring an app solution which poses as a quiz, information space and shows local pollution data. The quiz aspect is a way to gain as much information about the area the user is living in without taking a look into the raw data from sites like London Air. It will ask the user what features are present in their area such as the type of trees, their size, the ground type. All these will be used to build a picture of what the area is like and how much potential air pollution they are exposed to. The 'information space' is the general what can you do to reduce your air pollution based off the answers from the quiz. And finally, the local data will show that the air pollution levels are like, trends, fluctuation and comparisons between other areas.
I have started thinking about how the app will flow. The image below shows a simple wireframe of how information could be laid out.
I am exploring a way to expose the user through their pollution level through colour semiotics. Maybe I could implement a colour bar on the bottom of the interface which changes as the user respons to the qestions.
I got the idea for the quiz whilst reading the Urban Air Quality report by Woodland Trust. The report goes into detail about the bad characteristics present in areas with air pollution. One example is street canyons. 'The zone between rows of buildings along a street'. Street canyons can trap pollutants because the air in the canyon exchanges only slowly with the air above'. I wondered how this may be useful information for an individual. As this project is about engaging people with the air pollution, if I managed to expose people to the issues on their area that's right outside their home, maybe they will care more and petition for change.
The local pollution data will be gathered using R and will focus on specific locations. This will be a part of the interface users can view 'hard data' when they feel like it.
Reference list:
Woodlandtrust.org.uk. (2019). Urban air quality. Available at: https://www.woodlandtrust.org.uk/mediafile/100083924/Urban-air-quality-report-v4-single-pages.pdf (Accessed: 8 April 2019).
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