Modelo de clasificación de emociones para la selección del mejor modo de interacción en estudiantes universitarios, basado en encuestas y en la aplicación y uso de dispositivos tecnológicos

Abstract

User interaction is a concern for designers, programmers and engineers, since the userdecides the acceptance of a technological solution, so he/she must feel at ease with the created solution. Since few studies focus on adapting technology according to its specific characteristics, the need for a study on these attributes in relation to the interaction modes used has been found. This work develops a validated questionnaire to identify the demographic, technological and expertise characteristics that influence the affective state of a student according to a given interaction mode. This survey goes hand in hand with a model in order to elicit a person’s emotional state when using a specific device. A unique methodology was developed by combining an experimental process with CRISP DM, integrating its final steps to jointly create the survey and the model. The study included 64 university students who participated in a survey in which demographic, preference and technological expertise data were collected. Participants’ performance and affective states (valence, dominance, and arousal) were measured during their interactions with each device. Significant correlations between personal characteristics, performance and affective states were identified for each device used. We also obtained the characteristics that influence the person’s affective state and trained a model capable of predicting the affective variables with sufficient amount of data.