The field of interactive visualization and multimodal interaction is moving towards more sophisticated and effective methods of communicating complex information. Recent developments have focused on creating interactive systems that combine language-based explanations with visualizations to enhance learning and problem-solving. These systems have shown promise in improving task comprehension, problem-solving accuracy, and engagement levels. Additionally, there is a growing interest in developing standardized measures of trust in visualizations, which is critical for effective data communication and decision-making. Another area of research has been the development of frameworks for detecting mathematical errors in multimodal contexts, which has the potential to improve educational outcomes. Noteworthy papers in this area include:

• Interactive Sketchpad, which introduces a tutoring system that combines language-based explanations with interactive visualizations to enhance learning.
• MathAgent, which presents a novel framework for detecting mathematical errors in multimodal contexts.
• PieGlyph, which introduces an R package for creating axis-invariant pie-glyphs for 2D plots.
• A study on trust in visualizations, which developed a standardized inventory to measure trust in visualizations.