The fact that not every human feels in the same manner pertaining to any subject is taken into account and the machine is designed accordingly. Simply put, the model is built on the aspect of subjectivity. What it feels might not be felt by a different model. The best application of this model, the team says, would be for artists, especially graphic designers. This is because they can now evaluate their work and also how the audience feels about it.

Researchers at the Massachusetts Institute of Technology have developed wearable tech that could help avoid crossed wires and miscommunication. Using artificial intelligence to detect the "tone" of a conversation based on speech patterns, the researchers were able to use a wearable band to "classify the overall emotional nature of the subject's historic narration". More simply, the band could spot signs of sadness, anger, boredom and so on from a person's voice. The project, by Tuka AlHanai and Mohammad Mahdi Ghassemi at CSAIL, is one of many aimed at'social coaching' designed to help people with chronic social disorders become more comfortable with the complexities of communication. Day-to-day life is underpinned by social interactions that play a key role in our mental health and development.