As we enter the fourth wave of the industrial revolution and the technologies used in everyday life develop significantly, it is becoming increasingly important to interact with machines and electronic devices in the most effective way possible. Here, the Human-Machine Interface (HMI) comes in as a helpful solution that allows the user to easily communicate with a device. 

Depression is a common mental illness characterized by sadness, lack of interest, or pleasure. The common methods that health care professionals use to assess and monitor depression symptoms are face-to-face questionnaires leading to time-consuming or expensive methods. On the other hand, smart homes can monitor householders’ health through smart devices such as smartphones, wearables, cameras, or voice assistants connected to the home. We propose a three-step framework; the first step assesses the nine questions to the end-user through ALEXA or a gamified HMI. Then, a fuzzy logic decision system considers three actions based on the nine responses.