Perception-Enhanced Visual Analysis System for Analyzing Infographic Datasets

Key Points

• The aim is to develop a perception-enhanced visual analysis system to help users analyze infographic datasets more effectively.
• The system includes control view, overview view, and sample view modules.
• It utilizes clustering shape optimization and dynamic color allocation for improved user perception.
• A hierarchical exploration mechanism allows systematic exploration of large datasets.
• Achieved 100% target sample identification during the evaluation phase.
• The summarized design space covered approximately 94% of sampled data.
• Significant improvement in users' ability to understand and analyze infographic datasets.