Assessment of an emotions induction technique using stimuli from interactive digital products

In this work we propose a new and innovative process for the induction of emotional states, through visual stimulus based on interactive user interfaces (UI), to create a dataset of emotional physiological signals that can be used in the evaluation of the user experience (UX). Most existing datasets of emotional physiological signals, were generated based on images and videos, which are not useful for analysis of emotions in the evaluation process of the user experience, for this reason in this research, we propose a new emotional induction process that allows the creation of a physiological emotion dataset focused on the evaluation process of user experience. The population sample used for the generated emotional induction process is 15 users, 7 women and 8 men, which culminated in the creation of a dataset of 333 physiological signal files plus data from the SAM questionnaires and knowing the user. The information from these questionnaires was used to perform the statistical analysis of the data, which helped to determine the relationship that exists between the study variables. Some of the future activities planned are to increase the sample size of the datase, increase the repository of stimuli for digital products, etc.