Description: Multimodal Visualization Models are advanced tools that integrate and represent data from various modalities, such as text, images, audio, and video, to facilitate a deeper and more holistic understanding of information. These models allow for the simultaneous interaction and analysis of different types of data, resulting in a richer and more contextualized visualization. Their design is based on the premise that combining multiple sources of information can reveal patterns and relationships that would not be evident when analyzing each modality in isolation. The main characteristics of these models include the ability to merge heterogeneous data, interactivity in visualization, and adaptability to user needs. The relevance of Multimodal Visualization Models lies in their application in various fields, including but not limited to artificial intelligence, education, scientific research, and data analysis, where the complexity of information requires innovative approaches for interpretation. By providing a visual representation that combines different types of data, these models not only enhance understanding but also facilitate informed decision-making and the discovery of new knowledge.
