Best use of Gold Coast Data
Best use of Gold Coast Data
Go to Challenge | 13 teams have entered this challenge.
YCY
We designed an App for weather. It informs the users how to do with the incoming weather, make them understand weather and change their behaviour for better health.
Some weather is very harmful to people’s health, for example, UV from the sun. Excessive UV will greatly increase the risk of skin disease. Actually, everyone knows this fact, but people just ignore it because the bad results always come later. Appeals have been made from times to times, but they might only work for a short period. There should be an effective way to inform people about the risk and even change their behaviour.
We are busy. How can we remember to check the weather forecast every time before going out? Spend 50 seconds or more to open the browser and wait for google feed? Download an App and forget it in the third day? These are not going to solve the problem. A smart way is needed to make people know the weather without extra interactive workload.
The weather data can be very unfriendly to general people. They always find it hard to relate a number value to a sense. In terms of UV, temperature and humidity, a user-centred way should be found to represent that information so that people know how to deal with the weather.
We came up with a good way to make people know the weather when they are going to attend some activity.
Firstly, there is a notification pop when you should prepare something for the weather. Secondly, we combine the alarm clock into the app.
In the home page, users can see a character and the weather today. If it is going to rain, users are driven to hold a small umbrella with a special interaction for the character. If the sun UV is strong, the user will open a sunscreen and apply it to the body with fingers. By doing this, the interaction goes every deep into people’s memory so that taking the umbrella or using sunscreen is hard to forget.
We believe displaying the information in a way people are easy to understand is vital. In the home page, we tell the user toady’s weather and more importantly, we tell them how much it is colder or hotter than yesterday, how much it will increase skin disease risk if exposed to the sun for a different length of time, what to wear and what sport or activity is recommended.
We even made a function for users to measure the UV damage. By rotating a clock, users will see visually how the skin changes from 20 minutes to 3 hours and how the disease risk increase based on the UV of that day. Since people see the future result and do an interaction to this, the chance they will use sunscreen is larger.
Another example is we have a visual weather map in the app. Only knowing the weather in the different city is not the way how people understand the world. A weather map also provides useful information when people are about to do travel. The liner weather change can be displayed geographically.
We have many details that are designed to affect users’ emotion. These are important because human is emotional animals. It is easier to affect and control them with emotional elements rather than since fact or informative text.
For example, the character is representing the user. His/her face and mood will change according to the weather and how the user treats the weather.
In the weather map, users’ parents, lover and friends are showing along with the weather in their locations. Seeing those users can send small gifts like an umbrella or sunscreen to them to show their caring. Even we are far away, the love never changes.
We used data here for all the information in different locations including recordings and forecast. We did with the data in different ways. For example, compare the data with and analyse the change, relate the UV data to a disease data and change the usual styles based on weather data values.
Relating the skin disease data with UV degree data, we will illustrate the risk of sun UV harm to the skin in a creative way and predict the incoming damage. People will be aware of the importance to do skin care. Apart from that, influenza and pneumonia is also a big concern associated with weather. It is useful for the daily suggestion about clothing.
From people's sports preference we know what people would like to play. Then we can give appropriate sports suggestions based on weather condition data. With data from sports, the recommendation of activities is always from the top of what are popular.
Description of Use Used in building up internal map functions
Description of Use From people's sports preference we know what people would like to play. Then we can give appropriate sports suggestions based on weather condition.
Description of Use Relating the skin disease data with UV degree data, we will illustrate the risk of sun UV harm to the skin in a creative way and predict the incoming damage. People will be aware of the importance to do skin care. Apart from that, influenza and pneumonia is also a big concern associated with weather. It is useful for the daily suggestion about clothing. Reference for sun causing skin disease: Lehmann, P. (2011). Sun exposed skin disease. Clinics in Dermatology, 29(2), 180-188. Diepgen, T., Drexler, H., Elsner, P., & Schmitt, J. (2015). UV-Licht-induzierter Hautkrebs als neue Berufskrankheit. Der Hautarzt, 66(3), 154-159.
Description of Use We will customize it with a function for Queensland people to share their locations and select different spots to view it.
Description of Use We will use it to inform the user about the UV damage for the skin of the next few days in a selected location. This data is also related to other data like skin health to let them understand the risk of it in our special way.
Description of Use The weather forecast data is used to show the user weather changes in the future. We also have the function to compare or calculate some of the data and relate the results to different visual content.
Go to Challenge | 13 teams have entered this challenge.
Go to Challenge | 49 teams have entered this challenge.
Go to Challenge | 28 teams have entered this challenge.
Go to Challenge | 24 teams have entered this challenge.