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User Affective Experience into a Scope of Conversational Artificial Intelligence

Abstract:

The goal of the following research is to know the User experience during the interaction into a scope of Conversational Artificial Intelligence, having “Max” the virtual assistant from Universidad Técnica Particular de Loja (UTPL) as the evaluation interface. The assessment is done through virtual form with the presence of 45 members from the university community (15 students, 15 parents and 15 external). Previously to the interaction a kind of formative initial test is applied next to the Recognition of perceived emotions, the mobile application EmoApp-Pro (EMODIANA) and the FaceApi from Microsoft Azure. The research has a mixed approach, with a concurrent and quasi-experimental design of transactional type and a descriptive scope. The obtained results show that user’s affective experience is negative. Therefore, it is concluded that the must be constant feedback to the data base managed by the UTPL, precision in the addressing of answers and a mayor campaign to the society has to be done. Due to the sanitary emergency we face nowadays because of COVID-19 it will be very helpful doing academic processes that cannot be done in personal manner.