A Pilot Study of Autocorrelation Analysis and Subjective Preferences of Images of Camphor Leaves Moving in the Wind
Yoshiharu Soeta and Yoichi Ando

To clarify the temporal features of camphor leaves moving in the wind, sequential visual images of their movements were recorded. They are analyzed by using an autocorrelation function (ACF). To discuss the preferred temporal properties of the sequential images, paired-comparison tests of the analyzed images were conducted. The scale values of the preferences can not be attributed solely to wind speed. Remarkably, the most preferred condition is an ACF effective duration of around 0.3 s.

Key words:
autocorrelation function (ACF), subjective preference, effective duration of the ACF