The facial prior knowledge captured by EmoLA, specifically through the incorporation of a facial landmark encoder to extract facial structure information, can be extended to various other facial analysis tasks beyond emotion and action unit recognition. One potential application is in facial expression synthesis, where the prior knowledge of facial landmarks can be utilized to generate realistic and expressive facial animations. By understanding the underlying facial structure, EmoLA can assist in tasks such as facial attribute analysis, facial reenactment, and facial identity verification. Additionally, the facial prior knowledge can be leveraged in facial biometrics for tasks like facial recognition and facial spoofing detection, enhancing the accuracy and robustness of these systems.