Categorizing and comparing psychophysical detection strategies based on biomechanical responses to short postural perturbations

Using fuzzy logic in psychophysical experiments to separate hits, false positives and guesses in posturally perturbed standing subjects

In a 2-Alternative Forced Choice Interval task (2AFCi), a standing subject is required to press a button once or twice to signal in which of two 4 s sequential intervals that (s)he thought that a short ≤ 16 mm postural perturbation had occurred. The perturbation might or might not result in transient changes of the subject's Anterior-Posterior Center of Pressure (APCOP) or in other measures. This paper used fuzzy inference to explore whether the correctness of a subject's stimulus detection can be gleaned from analyzing changes in one of more metrics related to changes in the APCOP. Also, distinguishing guesses from correct responses is a critical issue in any psychophysical detection paradigm. Biomechanical and psychophysical data are used to design a prediction model based on fuzzy inference that is able to discriminate correct responses from guesses.