Investigating web applications adaptation to user emotions

The main goal of this research is to understand the issue of real time identification of emotions elicited on the users, while they are interacting with Web interfaces. Our aim is to create Web applications adaptable to the emotional state of the users, possibly stimulating more positive emotions, providing benefits to their interactions. This investigation is based on three previous studies oriented to find the key aspects of Web design responsible to stimulate a specific affective state on the users with consequent transformation of the interface to improve their experience. In this perspective, we carried out one test using an Emotiv Insight headset able to detect EEG of five channels to understand problems, potentials and limits related to monitoring physiological signals and their interpretation regarding the emotional state. We report and discuss the results of our analysis, amongst other findings on this challenge.