Description: Visual contextualization is the process of providing context to visual data to enhance its interpretability. This approach seeks to enrich the understanding of information presented through graphs, images, or diagrams by integrating elements that facilitate the connection between the data and its meaning. Visual contextualization allows observers to not only see the data but also understand its relevance, origin, and potential implications. By incorporating elements such as labels, legends, descriptions, or comparisons, a clearer and more accessible representation of the information is achieved. This process is fundamental in the realm of multimodal models, where different types of data (textual, visual, auditory) are combined to offer a richer and more effective learning or analysis experience. Visual contextualization not only enhances the aesthetics of data presentation but also boosts users’ ability to make informed decisions based on the visualized information. In a world where information overload is common, the ability to visually contextualize data becomes an essential tool for educators, researchers, and professionals across various disciplines, enabling more effective communication and a deeper understanding of the topics addressed.
