CLIP-Gaze can be adapted to handle additional gaze-irrelevant factors beyond appearance, wearable, and image quality by expanding the scope of language descriptions used to construct gaze-irrelevant features. By incorporating a more comprehensive set of factors into the prompt templates, such as environmental conditions, facial expressions, or even external distractions like mobile devices or background movements, CLIP-Gaze can capture a wider range of potential disturbances that may affect accurate gaze estimation. This approach would involve enhancing the diversity and specificity of language prompts to encompass various real-world scenarios where gaze estimation is crucial.