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Open AccessArticle

Multiscale Entropy Analysis on Human Operating Behavior

by Junshan Pan 1,2,3, Hanping Hu 1,2,*, Xiang Liu 1,2 and Yong Hu 4
1
Key Laboratory of Image Processing & Intelligent Control of Education Ministry, Wuhan 430074, China
2
School of Automation, Huazhong University of Science and Technology, Wuhan 430074, China
3
School of Computer and Information Science, Hubei Engineering University, Xiaogan 432100, China
4
School of Physics, Huazhong University of Science and Technology, Wuhan 430074, China
*
Author to whom correspondence should be addressed.
Academic Editor: Anne Humeau-Heurtier
Entropy 2016, 18(1), 3; https://doi.org/10.3390/e18010003
Received: 20 September 2015 / Revised: 29 November 2015 / Accepted: 7 December 2015 / Published: 22 December 2015
(This article belongs to the Special Issue Multiscale Entropy and Its Applications in Medicine and Biology)
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. View Full-Text
Keywords: human dynamics; individual behavior; modified multiscale entropy (MMSE) human dynamics; individual behavior; modified multiscale entropy (MMSE)
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Pan, J.; Hu, H.; Liu, X.; Hu, Y. Multiscale Entropy Analysis on Human Operating Behavior. Entropy 2016, 18, 3.

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