Diseño de una arquitectura basada en modelos en tiempo de ejecución, para el monitoreo y análisis de interacciones humano-computador

Abstract

Currently, there is a growing need for computer systems to have self-adaptive features, especially in environments where users are constantly interacting, dynamically changing the context and, therefore, the state of the system and its environment. This Bachelor’s Degree Final Project presents an architecture for Self-Adaptive Systems (SAs) focused on Human Computer Interaction (HCI), based on runtime models and the MAPE-K control loop for monitoring and analysis. The work was developed through a literature exploration and a quantitative approach based on Hernandez Sampieri methodology. A prototype guided by the proposed architecture was implemented, incorporating its different modules to test its applicability in real scenarios. The evaluation was carried out through two quasi-experiments with a sample of 25 participants, focused on the perception of the architecture in terms of ease of use, perceived usefulness and intention of future use. The results highlighted a high perception in each of the evaluated aspects, concluding that the developed architecture is effective from the point of view of software architects.