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Abstract
Text-overlaid images abound in product design and human–computer interfaces (e.g., greeting cards and photo slideshows that overlay texts on large background images). This study proposes computational models of perceived aesthetics appeal of text-overlaid images as a function of their white-space fractions. Four models are proposed, including Character-based Page White-Space Fraction (WCP ), Character-based Background White-Space Fraction (WCB ), Bounding Box based Page White-Space Fraction (WBP ), and Bounding Box based Background White-Space Fraction (WBB ). Two experiments, using single-spaced and double-spaced texts, were conducted to investigate the relationships between the model predictions and the perceived aesthetic appeal of text-overlaid images. The results show that the Bounding Box based Background White-Space Fraction (WBB ), defined as the area ratio between the bounding rectangle of texts and the background region of image, is most valuable in modelling the subjective aesthetic appeal. The regression curves show that the optimal WBB is close to 0.8.
Acknowledgments
This study was partially supported by National Science Council, Taiwan, Republic of China, under Grant NSC-99-2221-E-260-028 and NSC 101-2221-E-260-011.