By exploiting the statistical analysis method, human dynamics provides new insights to the research of human behavior. In this paper, we analyze the characteristics of the computer operating behavior through a modified multiscale entropy algorithm with both the interval time series and the number series of individuals' operating behavior been investigated. We also discuss the activity of individuals' behavior from the three groups denoted as the retiree group, the student group and the worker group based on the nature of their jobs. We find that the operating behavior of the retiree group exhibits more complex dynamics than the other two groups and further present a reasonable explanation for this phenomenon. Our findings offer new insights for the further understanding of individual behavior at different time scales.
The interval time series and the number series of individuals' operating behavior was investigated by a modified multiscale entropy algorithm, which provided insights for further understanding of individual behavior at different time scales REF .
Multiscale Entropy Analysis on Human Operating Behavior
Entropy
Entropy
Mathematics Computer Science