Evaluación de Experiencia Afectiva de Usuario (UAX) con IA Conversacional

Abstract

Abstract:The objectives of this research are assessing the usability from the metrics of effectives, efficiency and satisfaction and know the User Affective Experience during the interaction into a Conversational Artificial Intelligence scope having as an interface assessment the Virtual assistant Max of the Universidad Técnica Particular de Loja (UTPL). The evaluation is done through the virtual the presence of 45 members as participants from the university community (15 students, 15 parents and 15 external). A kind of formative initial test is applied previously to the interaction, the mobile application EmoApp-Pro (EMODIANA) after the interaction, the usability questionnaire PSSUQ (Adaptation to spanish CSUQ) are employed next to the Recognition of persistent emotions FaceApi from Microsoft Azure. The research has a mixed approach, with a concurrent and quasi-experimental design of a cross-sectional type, and a descriptive scope. Due to the acquired results demonstrate whereas lowest in metrics of effectiveness, efficiency and satisfaction and the negative in the User Affective Experience it concludes that it must be revised the strategy of interaction, there must be a continuous feedback in the data base of the virtual assistant that is managed by the UTPL. There has to be precision into the addressing of answers and must be done a campaign to the whole society due to sanitary emergency we are facing now because of the COVID-19 it would be really helpful in several academic processes that cannot be carried out by personal way.