title: Discriminability measures for predicting readability of text on textured backgrounds.
abstract: Several discriminability measures were examined for their ability to predict reading search times for three levels of text contrast and a range of backgrounds (plain, a periodic texture, and four spatial-frequency-filtered textures created from the periodic texture). Search times indicate that these background variations only affect readability when the text contrast is low, and that spatial frequency content of the background affects readability. These results were not well predicted by the single variables of text contrast (Spearman rank correlation = -0.64) and background RMS contrast (0.08), but a global masking index and a spatial-frequency-selective masking index led to better predictions (-0.84 and -0.81, respectively).
authors.affiliation: Stephen F. Austin State University, Department of Psychology, Nacogdoches, Texas, 75962, USA. lscharff@sfasu.edu
authors.forename: L F
authors.initials: LF
authors.lastname: Scharff
authors.forename: A L
authors.initials: AL
authors.lastname: Hill
authors.forename: A J
authors.initials: AJ
authors.lastname: Ahumada
mesh_terms: D000293:Adolescent; D000328:Adult; D003118:Color Perception; D032882:Comprehension; D003196:Computer Graphics; D015350:Contrast Sensitivity; D003626:Data Display; D004192:Discrimination, Psychological; D006804:Ergonomics; D006801:Humans; D020407:Internet; D008960:Models, Psychological; D010364:Pattern Recognition, Visual; D011237:Predictive Value of Tests; D011601:Psychophysics