Carmen Bisogni, Lucia Cascone, Aniello Castiglione, Ignazio Passero
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 chan- nel among users and applications may be exploited for customizing and finely tuning the dynamic behav- ior 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 entertain- ment 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. © 2021 Published by Elsevier B.V.