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Inspiration
We're interested in Adverse Child Experiences (ACEs) but we think for younger kids (age 5-8), they also face struggles in school setting a lot. Peer rejection, for example, is one of the strongest predictors and risk factors for later onset of mental illness including depression. Therefore, we want to build a project from a preventive perspective to intervene in a very early state and help parents to learn about their kids' experience at school. Regarding the language development stage in small children, we think it would be helpful if kids can play a scenario-based game with parents together to reflect on their days in school and parents will then get some insights about kids' social and emotional health from kids' performance in the game.
What it does
In the app we design a series of school-based scenarios and then kids are asked to make choices based on their real experience under similar scenes. Some of the choices signals adverse events happening in children's life and parents can then get a short report about this.
How I built it
We built this app with Java on Android Studio
Challenges I ran into
We have encountered several problems. The first one how to design the game in order to get the feedback of kids without letting them know that we are trying to get their mental health situation. The design of game makes sure that we can collect the most accurate data so our feedback and advice can be meaningful. Also, we spent a lot of time to combine scenario and words so the questions will be more approachable to the kids. We tried to find some scenarios that are relevant to the kids' life and combine the significant questions and insignificant ones to make the survey smooth.
Accomplishments that I'm proud of
We are proud of the design of our product, including layout, gaming, and report.
What I learned
How to design a product to solve real world problems.
What's next for TapnTell
We can save our data and result on cloud and require account for each user. So we can keep track of the record better. Also, when we have enough data, we can invite some experts to give feedback and train some machine learning models based on the data and evaluation. In addition, we will design more scenarios and create more game mode to make the process more enjoyable and collecting more data.
