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Research on Game Incentive Strategy Design of Highly Automated Driving Takeover System

  • Zhelin Li
  • Shanxiao Jiang
  • Yu Zhang
  • Lijun JiangEmail author
  • Xiaohua Li
  • Zhiyong Xiong
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 903)

Abstract

Objective The objective of this paper is to study the effect of multilevel game incentive strategy on the takeover performance of highly automated driving takeover systems. Method According to the present research results of the automatic takeover system, the game incentive strategy of the automated driving takeover system is designed. Under the simulated automated driving system environment, the usability of the strategy is demonstrated through experiments, and the test data is analyzed. Result The application of game incentive strategies has improved both user takeover performance and user experience. Conclusion Design of game incentive strategy and interface can provide the basis for the human-machine interaction strategy design of the takeover system.

Keywords

Automated driving Takeover system Game incentive strategy 

Notes

Acknowledgements

This research is supported by the Fundamental Research Funds for the Central Universities 2017ZX013, and the Specialized Science Research Fund from Guangzhou Science Technology and Innovation Commission 201607010308.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Zhelin Li
    • 1
    • 2
  • Shanxiao Jiang
    • 1
  • Yu Zhang
    • 1
  • Lijun Jiang
    • 1
    • 2
    Email author
  • Xiaohua Li
    • 1
  • Zhiyong Xiong
    • 1
    • 2
  1. 1.School of DesignSouth China University of TechnologyGuangzhouChina
  2. 2.Human-Computer Interaction Design Engineering Technology Research Center of GuangdongGuangzhouChina

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