Low-cost methodologies and devices applied to measure, model and self-regulate emotions for human-computer interaction

Resumen

In this thesis, the different methodologies for analyzing the UX experience are explored from a usercentered perspective. These classical and well-founded methodologies only allow the extraction of cognitive data, that is, the data that the user is capable of consciously communicating. The objective of this thesis is to propose a methodology that uses the extraction of biometric data to complement the aforementioned cognitive information with emotional (and formal) data. This thesis is not only theoretical, since the proposed model (and its evolution) is complemented with the different tests, validations, and investigations in which they have been applied, often in conjunction with research groups from other areas with success.