The project blends hybrid physical-digital experiences with data-driven storytelling, enabling users to explore multiple outcomes through interactive choices. Sound and motion elements amplify immersion, enhancing user engagement with dynamic narratives.

VisCIT is an interactive survey platform that combines critical incident methodology with dynamic visual feedback to elicit more accurate, context-rich responses. Through scenario-driven narratives and reflection prompts, it enhances recall and improves the reliability of self-reported data in complex domains.

Using AI-assisted clustering and manual coding, we identified two major categories—animation styles and practice—along with 11 subcategories and 49 classifications. Regression and correlation analyses revealed how different animations support comprehension and balance coherence with flexibility.

Additional research projects are currently underway and will be presented in future updates.