Human Path Integration by Optic Flow

Abstract

Path integration or 'dead reckoning' is the ability to keep track of relative position using self-motion signals that convey information about speed and direction of movement. Most animal species, including humans, exhibit some degree of path integration capability and neurophysiological studies have demonstrated that self-motion signals are sufficient to update internal representations of both position and orientation. In the present study, human subjects were required to monitor their position or orientation on the basis of unstructured optic flowfields. Trials were conducted at different speeds to examine the accuracy of path integration and rates of random error accumulation, and at two different head azimuths to prevent a confounding strategy of position updating based primarily on tracking changes in the angular declination of distant landmarks with respect to the horizon. Participants integrated the speed of visual motion to update accurately a representation of their position and orientation within the environment. Consistent with the characteristics of real-world path integration, errors accumulated linearly with the magnitude of position and orientation estimation. We conclude that coherent optic flowfields provide a sufficient basis for humans to keep track of their position and orientation relative to remembered landmarks.