Understanding Text Polarity Effects ECVP 2005
Lauren V. Scharff, Stephen F. Austin
State University, lscharff@sfasu.edu
Albert J. Ahumada, NASA Ames Research Center, al.ahumada@nasa.gov
Question
Scharff and
Ahumada (2002, 2003) measured paragraph readability and letter identification
for light text and dark text. Responses to light text were slower and less
accurate for a given contrast. Is this polarity effect
(1) the result
of different sensitivities in the ON and OFF retinal pathways, or
(2) the result
of more experience with dark text on light backgrounds?
Strategy
To distinguish
between these alternatives we separated the polarity of the contrast signal
from the polarity of the letter by using a pedestal only slightly larger than
the letters. The positive letters were
placed on a negative pedestal so that the letter was at zero contrast with
respect to the large background, but had positive contrast with respect to the
local surround. Similarly, negative contrast letters were placed on a positive
pedestal.
If the
physiological explanation holds, the polarity of the pedestal should control
the performance rather than the polarity of the letters.
Left: the letter “g” at 40% negative contrast. Right: the pedestal at 40% negative contrast, the letter “g” at 0% contrast with respect to the background.
Methods
·
We
presented 3 randomized blocks of all combinations of three contrast levels (10,
20, 40%) and the two polarities, both with and without a pedestal.
·
The 12
letters (acegilnqrstu) were those used in earlier experiments.
·
The
observers (N = 17) identified the presented letter by typing it as quickly as
possible. Feedback was given.
Results
Reaction times T
and accuracy Pc were combined with alphabet size n into a bit rate score:
BR = (Pc log2(n Pc)+(1-Pc)log2(n (1-Pc)/(n-1)))/T
Without the pedestal, dark letters were identified with a higher bit rate. With the pedestal, dark pedestals (light letters) were better (F(1,16) = 90.7, p< .001).
Pedestal stimuli had lower bit rates than letter stimuli without pedestals (F(1,16) = 24.0, p<.001).
Bit rate increased with contrast (F(1,16) = 92.4, p<.001).

Does Negative Contrast Dominate in our
Negative Stimuli?
(Yes, but more so for letters alone)
We simulated ON
and OFF channels with Difference of Gaussian filters with a center spread of 2
arc min and a balanced surround spread of 6 arc min (method from Ratliff et
al., 2005).
Letters alone
had 87+-2% of their contrast energy in the channel with the letter polarity.
Pedestal letters
had 75+-2% of their energy in the pedestal polarity channel.
Conclusions
Polarity of the signal energy, not the text polarity, determines performance. Pedestal letters were worse.
Acknowledgements
Support provided by NASA Aerospace Systems and the San Jose State University Foundation
.
References
Scharff, L. F. V., and Ahumada, A. J. Jr. (2002). Predicting the readability of transparent text, Journal of Vision 2(9), 653-666. http://www.journalofvision.org/2/9/7/.
Scharff, L. F. V., and Ahumada, A. J. (2003). Contrast measures for predicting text readability, B. E. Rogowitz and T. N. Pappas, eds., Human Vision and Electronic Imaging VII, SPIE Proc. 5007, Paper 46.
Ratliff, C., Sterling, P., and Balasubramanian, V. (2005). Negative contrasts predominate in natural images, Investigative Ophthalmology and Visual Science 46, ARV0 e-Abstract 4685.