Automatic Bug Detection in Games using LSTM Networks

In Game User Research (GUR) is one of the fields that is this work, we use Long Short-Term Memory (LSTM) [10], a experiencing a recent transition due to the growth of AI. GUR is deep neural network architecture, for our behavioral and concerned with understanding and improving player experience perceptual bug detection. We frame the bug detection problem by relying on the interdisciplinary knowledge of humancomputer as Anomaly Detection, which allows integrating the framework interaction (HCI), game design, and experimental to different video games easily.