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Discriminability measures for predicting readability of text on textured backgrounds
L F Scharff1, A L Hill, A J Ahumada
1Stephen F. Austin State University, Department of Psychology, Nacogdoches, Texas, 75962, USA. lscharff@sfasu.edu
Optics Express
|September 20, 2002
Summary
Background textures significantly impact reading speed, especially at low text contrast. Spatial frequency content of backgrounds is key to predicting readability, outperforming simple contrast measures.
Area of Science:
- Visual perception
- Human-computer interaction
- Information display
Background:
- Text readability is influenced by background characteristics.
- Understanding how background complexity affects reading is crucial for display design.
Purpose of the Study:
- To evaluate discriminability measures for predicting reading search times.
- To investigate the impact of background textures and contrast on text readability.
Main Methods:
- Reading search times were measured across varying text contrasts and background types.
- Backgrounds included plain, periodic, and spatial-frequency-filtered textures.
- Discriminability measures, including contrast and masking indices, were correlated with search times.
Main Results:
- Background variations primarily affected readability at low text contrast levels.
- The spatial frequency content of backgrounds was found to influence readability.
- Spatial-frequency-selective and global masking indices provided better predictions of search times than simple contrast measures.
Conclusions:
- Readability is modulated by background complexity, particularly under low contrast conditions.
- Masking indices effectively capture the impact of background characteristics on reading performance.
- These findings inform the design of visual displays for optimal legibility.