Experience Metric

Experience metrics aim to quantify user satisfaction and performance in various applications, from large language models to gaming and mobile devices. Current research focuses on developing accurate predictive models, often employing machine learning techniques like gradient boosted regression trees, to estimate experience from readily available data such as hardware specifications or network performance indicators. This work is crucial for improving system design and optimization across diverse domains, enabling developers to create more user-friendly and efficient systems by directly targeting and improving key aspects of the user experience.