The field of data visualization is shifting towards a more human-centered approach, emphasizing the importance of empathy, context, and personalization. Researchers are working to bridge the gap between design practice and systematic application, creating a common language for human-centered visualization. A key area of focus is the development of frameworks and taxonomies to organize and operationalize visualization literacy, ensuring that visualizations are effective and accessible to a wide range of audiences. Another significant trend is the integration of empathy into visual analytics, particularly in healthcare settings, where it can support more personal and empathetic relationships between medical staff and patients. Noteworthy papers include:

• Data Humanism Decoded, which provides a characterization of Data Humanism principles for visualization researchers, creating a common language for human-centered visualization.
• Embedding Empathy into Visual Analytics, which presents a framework for person-centered dementia care, integrating established principles of person-centered care with empathy mapping methodologies.