Improving the Serious Game design using Game Learning Analytics and Eye-tracking: A pilot study

It is necessary to consider metrics that integrate Game Learning Analytics (GLA) and technologies that improve user interfaces through the eye tracker to get better the Serious Games design. In this work, the Math4Fun game was developed using the ADDE methodology to support basic math operations for 7-year-old children, which allowed efficient communication to define the game's critical elements. The GLA metrics were implemented with eXperience API (xAPI) standard and visualized through a real-time dashboard, while Eye-tracking technology working with fixation time analysis on the game's interfaces improves gameplay and design. The results established that combining the GLA indicators with the user interface components obtained from the evaluation with eye-tracking allows redefining concepts in the design and programming inside SG in search of constant improvement.