Quantified Self: Big Data Analysis Platform for Human Factor Efficacy Evaluation of Complex System

  • Chaoqiang Li
  • Wenjun HouEmail author
  • Xiaoling Chen
  • Hao Li
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10745)


By analyzing the factors affecting the airborne mission system, this paper applied the method of Quantified Self to the evaluation of human effectiveness in the military airborne mission system. According to the depth of interaction between people and information, we divide the information circumstance into four aspects including individual, equipment, network and environment. Then we construct a complete individual Quantified Self information interaction system by collecting physiological data, cognitive data, behavioral data and environmental data. Finally, the functional architecture and composition of the ergonomic evaluation platform are given in combination with the airborne mission system.


Quantified Self Complex information system Big data 


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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Chaoqiang Li
    • 1
  • Wenjun Hou
    • 2
    • 3
    Email author
  • Xiaoling Chen
    • 2
  • Hao Li
    • 2
  1. 1.China Electronic Science Research InstituteBeijingChina
  2. 2.School of Digital Media and Design ArtsBeijing University of Post and TelecommunicationsBeijingChina
  3. 3.Beijing Key Laboratory of Network and Network CultureBeijing University of Post and TelecommunicationsBeijingChina

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