Averagely speaking, each year, 1 in 6 elders in Taiwan (population with the age over 65), have fell over at least once, it goes to show how important an issues this is.
By designing the AI caretaker, that detects when people trip and fall, we hope to grasp the golden window of rescue.
It provides emergency notification, with an enhanced privacy, and a better interaction response, this device is not only useful when emergency happens, it also works well as a daily caretaking support device.
After initially defining the problem, we quickly focused on the field of home cameras and attempted to verify our initial hypothesis through user research methods such as questionnaire surveys and user interviews.
According to desktop research, survey data, and interview data, we decided on caretakers and care receivers as our consumer group.
The goal of the test is to:
1. Test if the functionality fits the need of the users.
2. Explore whether there are other potential functions unrevealed.
We interviewed 5 people, 3 out of which are caretaker, and the other 2 are elders interested in our product (care receivers).
By creating a value proposition canvas to visually represent the benefits and pain points that our product can provide and solve for two target groups.
