ABSTRACT
Visual acuity (VA) is one of the most common clinical tests, since it is an easy, affordable, and reasonably fast method to find visual deficiencies due to either optical or neural causes. The new techniques for manipulating the optics of the eye have produced an increasing interest in the possibility of predicting VA under different levels of optical aberrations. VA is a particular measure of visual quality, and hence the same metrics were also proposed for predicting VA. Contrary to grating acuity, the optotypes used in standard clinical VA are complex stimulus, and associated task is a decision making under several alternatives forced choice paradigm. The most interesting properties of the model are that it can be customized not only to the specific subject but also to mimic experimental conditions of the VA test. To be realistic the model should incorporate the main stages of visual process involved in the particular task of optotype identification, in the case of VA.
