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Influence of Multi-Modal Warning Interface on Takeover Efficiency of Autonomous High-Speed Train.

Chunhui Jing1, Haohong Dai1, Xing Yao2

  • 1Department of Industrial Design, School of Design, Southwest Jiaotong University, Chengdu 610031, China.

International Journal of Environmental Research and Public Health
|January 8, 2023
PubMed
Summary

The auditory-visual multi-modal warning interface is most effective for high-speed train automatic driving, enhancing driver takeover efficiency. Adding auditory alerts improves visual interfaces, but tactile interfaces do not enhance performance.

Keywords:
autonomous drivinghigh-speed trainmulti-modal interfacetakeover efficiency

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Area of Science:

  • Human-computer interaction
  • Transportation safety
  • Public health

Background:

  • High-speed rail is a critical public transport system.
  • Driving safety in high-speed rail directly impacts public health.
  • Automatic driving systems require effective warning interfaces.

Purpose of the Study:

  • To identify the most efficient multi-modal warning interface for high-speed train automatic driving.
  • To optimize and improve current warning interface designs.
  • To enhance the active safety of automatic driving high-speed trains.

Main Methods:

  • A simulated 350 km/h high-speed train driving experiment with 48 participants.
  • Analysis of eye movement and behavioral parameters using Kruskal-Wallis test and one-way ANOVA.
  • Comparison of single-modal versus multi-modal warning interfaces (visual, auditory, tactile).

Main Results:

  • Level 3 visual warnings provide abundant information but do not improve takeover efficiency.
  • Level 2 visual warnings attract more attention than Level 1 but need better graphic-text integration.
  • Multi-modal interfaces are more efficient than single-modal ones.
  • Auditory-visual interfaces showed the highest takeover efficiency, especially for urgent Level 3 warnings.
  • Auditory interfaces improved visual interface efficiency; tactile interfaces did not.

Conclusions:

  • The auditory-visual multi-modal interface is optimal for urgent high-speed train warnings.
  • Interface design improvements can enhance driver takeover efficiency and active safety.
  • Findings support the development of safer automatic driving systems for high-speed rail.