Based on the fact that my online identification is connected with each other. I wanted to create an iOS app that visualizes individual’s time and money spending on their daily lives by aggregating their private data, connecting to debit or credit cards, health trackers, wearable devices, internet searching history. This app shows users how much time they spent on SNS and other websites and also figure their favorite brands and consumption habits with simple bubble charts. The main purpose of this app is to enable people to check their daily lifestyle and preferences at a glance by interacting with bubbles. People can check their budget balances to get rid of the bubbles as well.
In terms of the context of critical design, the app is in the domain of surveillance design. Because this app utilizes individual’s personal data to analyze their lifestyle, it is a kind of invasion of a person’s privacy in some ways. However, people today are easily allowing these kinds of service to use their private data. People are seeking convenience and productivity by sacrificing their privacy in this smart, hyper-connected society of technology. This app will redefine the privacy in this era by showing an example all the personal devices are connected and manipulating by an algorithm in the era of Internet of Things.
The implementation of the project is now a prototype – the demo video that shows main concept and functions of the app and a GUI flow. But I want to develop this idea for the further version by conducting a deeper research how to establish a systematic algorithm that analyzes people’s lifestyle. I want to learn machine learning to look into how computer design reactive analysis of personal data, not just displaying data by numbers. Also, I want to figure how this kind of project and personal preferences of brands can be utilized for marketing and advertising. The big data that is gathered by this app can be a great resource for market analysis and consumer psychology as well.