Deep learning for emotion driven user experiences

Deep knowledge about user characteristics and behaviors opens new and promising landscapes to the User Experience. Thanks to emerging machine learning techniques, a new form of communication channel among users and applications may be exploited for customizing and finely tuning the dynamic behavior of applications to the peculiarities of their users. This work investigates the empathic improvement of the User Experiences and exploits inferences on user expressions for activating gaming and entertainment events, that are adopted in a cinematic way to create dynamic application behaviors. The presented approach is applied to a third/first-person horror adventure and a classic table game. As already verified in a preliminary phase of the research, user impressions, collected as subjective evaluation in a controlled experiment, are positive and encourage further steps, like the evaluation of other inferences on users.