Description: Quality metrics for multimodal systems are essential tools that allow for the evaluation of the effectiveness and performance of systems that integrate multiple modalities of information, such as text, audio, image, and video. These metrics are crucial to ensure that multimodal systems not only function correctly but also provide an optimal user experience. Key characteristics of these metrics include accuracy, robustness, efficiency, and user satisfaction. Accuracy refers to the system’s ability to correctly interpret information from different modalities, while robustness assesses its performance under varied and challenging conditions. Efficiency measures resource usage, such as processing time and memory, and user satisfaction focuses on the overall experience of the user when interacting with the system. The relevance of these metrics lies in their ability to guide the development and continuous improvement of multimodal systems, ensuring they adapt to the changing needs of users and technological advancements. In a world where interaction with technology becomes increasingly complex and diverse, having appropriate quality metrics is crucial for the success of applications across various domains, including artificial intelligence, augmented reality, and digital education.
