me204-2025-project-srishtisahu

🎨 Art Perception Analysis

🧪 Project Overview

This project explores how three visual factors—brightness, size, and colourfulness—influence the number of people attracted to different paintings. Using a synthetic dataset collected from controlled observations, we examine patterns and anomalies in visual preferences using various plots and statistical visualizations.

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🧠 Key Findings

📈 When analysed individually, all three factors—brightness, size, and colourfulness—show an increasing pattern in the number of people attracted as the intensity increases.

🔥 According to the heatmaps, the most attention was drawn to:

• Moderately bright + large sized paintings.

• Low colourfulness + large sized paintings.

This is a bit unexpected, isn’t it?

The reason behind this can be seen using box plots for brightness and colourfulness as it shows outliers:

As seen, there are outliers in both the boxplots resulting in the strange results from the heatmaps!!

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💡 Conclusions

• Size matters most—larger paintings consistently attracted more viewers.
• Brightness has a sweet spot—extremely bright or dim artworks were less appealing.
• Colourfulness isn’t always linear—sometimes low-colour paintings performed better, possibly due to minimalism or contrast.