Scan Path during Visual Search for Moving Target with Spatial Frequency

In a social context where digital signage and video streaming have become widely used, it is necessary to clarify the behavior of visual search for moving visual targets. This study focuses on an inconspicuous visual component, spatial frequency, and examines the relationship between the moving speed of the target in a visual search task and the threshold of spatial frequency that determines whether the target can be searched or not. In the experiment, scan paths were evaluated based on the distance between gazing points and the target image as the gaze error, and also machine learning. The results showed that the threshold value of b as an index of spatial frequency tended to increase from 0.3 to 0.6 as the moving speed of the visual target image increased from 0.2 to 3 times /s. Thus, these results quantitatively clarified the characteristics of the threshold of spatial frequency, and the change of the threshold with the change of movement speed. Furthermore, it was found the gaze error can be used to determine the threshold of the β value.