Quantitative Raw Data

This dataset contains the quantitative raw data from a comparative case study designed to validate the Synergistic AI-Driven Methodology (SADM) for dynamic poster design. The associated study investigates how structured human-machine collaboration frameworks can mitigate systemic workflow fragmentation and enhance efficiency when using generative AI tools.
The dataset records the workflow performance metrics and qualitative expert evaluation scores of 10 professional designers. It provides empirical evidence demonstrating that the SADM framework significantly reduces project cycle times while simultaneously increasing creative solution diversity compared to traditional, unstructured AI workflows.