Khazan, Olga. “This App Reads Your Emotions on Your Face.” The Atlantic, Atlantic Media Company, 15 Jan. 2014, www.theatlantic.com/technology/archive/2014/01/this-app- reads-your-emotions-on-your-face/282993/.
Khazan, Olga. “This App Reads Your Emotions on Your Face.” The Atlantic, Atlantic Media Company, 15 Jan. 2014, www.theatlantic.com/technology/archive/2014/01/this-app- reads-your-emotions-on-your-face/282993/.
Proof of Concept
The most recent variation of the ETM enables a user to enter symptoms into the application and receive a list of simple actions to take based on the variations in the patient’s behavior. Currently, it is developed in Python 3.2, and utilizes a simple scoring mechanism through a series of yes or no questions to make decisions on the most likely condition present in the victim and more importantly provide some form of immediate action to take. The Python serves as a simple proof of concept, and in no way is close to the complete vision of the ETM. This python examines only a few variables and is adept to only a few courses of actions, however does provide the user with a general idea of how the actual product would function in the real world, therefore serving its initial purpose. In order to the create a full product, we would need a significantly large knowledge base of experienced psychologists and the DSM5 that would be able to input a large number of specific symptoms and conditions, as well as a database, and preferably adequate AI technology in order for our ETM to not only make fast decisions, but to make better decisions over time.
In the finished machine, there would be many more questions that would be asked to the user and many more conditions, such as depression and bipolar disorder that the machine will consider. In the full prototype, we have a few more conditions as well as questions that the user can go through to test it out.
The model of our prototype, which we coded in Python and GUI, implements a decision tree type algorithm that inputs symptoms, determines possible mental illnesses that the subject might have, and gives advice accordingly.