@article{ref1,
title="Using the "blur tolerance" technique to predict and optimize the legibility distance of symbol highway signs",
journal="Proceedings of the Human Factors and Ergonomic Society annual meeting",
year="1994",
author="Schieber, Frank",
volume="38",
number="14",
pages="912-915",
abstract="This study investigates the hypothesis that variations in symbol sign legibility distance can be accounted for on the basis of a sign's dependence upon high spatial frequency contours to convey critical information. Using digital image processing techniques, highway signs were blurred to remove all high spatial frequency information. A blur recognition threshold was established for each experimental sign by sequentially &quot;deblurring&quot; it until the observer could report the critical details defining its recognition criteria. Correlational analyses were then conducted to determine if legibility distance (collected in a previous study) could be predicted from the blur recognition threshold data. A significant correlation was observed between blur recognition threshold and sign legibility distance (r = −0.734, N=12, p < 0.001). That is, symbol signs with high levels of &quot;blur tolerance&quot; could be recognized at significantly greater viewing distances. These results support the application of new computer-assisted &quot;recursive-blur&quot; design techniques to optimize the effectiveness of symbol highway signs and related visual stimuli (see Schieber, Kline and Dewar, 1994).<p /><p>Language: en</p>",
language="en",
issn="2169-5067",
doi="10.1177/154193129403801425",
url="http://dx.doi.org/10.1177/154193129403801425"
}