Graphical Highlighting Study in Train Driving Interface

In recent years, with the advancement of train operation control technology and the rapid development of modern electronic technology, many electronic devices have been widely used in the cockpit, significantly enhancing the automation level and information processing capabilities of trains. However, this trend has also led to a surge in human-machine interaction information, resulting in a substantial increase in the number of displays and controllers in the cab. Excessive information and a complex driving interface not only increase the cognitive and operational burden on drivers but also seriously affect their work efficiency and decision-making quality, posing a major threat to the safety of train operations. Graphics in the driving interface are an important way for drivers to obtain various types of information during vehicle operation. Design issues such as their size, color, shape, and display mode often affect the efficiency of drivers' visual search. Highlighting is a visual strategy that marks a specific number of items through specific methods to improve the efficiency of visual search.This paper takes the train driving interface as the background and studies the visual search efficiency of the driver's graphical information under the influence of different color backgrounds, graphical color and flashing frequencies of the highlighting codes. Through the experiment, the reaction time and the correct response rate of the subjects are obtained, and the optimal combination of the three kinds of highlighting codes. When the black background and the flashing frequency of the red graphic is 27Hz, the search efficiency of the subjects is the highest, which can be used as the optimal solution for the graphic information highlighting in the design of the train driving interface.

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Publication Details

Journal
AHFE international
Published
2025-01-01
DOI
https://doi.org/10.54941/ahfe1006253
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
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article

Graphical Highlighting Study in Train Driving Interface

Jianrun Zhang, Wenqian Zhu
AHFE international
Human-Automation Interaction and Safety
article

Graphical Highlighting Study in Train Driving Interface

Jianrun Zhang, Wenqian Zhu
article en

Abstract

In recent years, with the advancement of train operation control technology and the rapid development of modern electronic technology, many electronic devices have been widely used in the cockpit, significantly enhancing the automation level and information processing capabilities of trains. However, this trend has also led to a surge in human-machine interaction information, resulting in a substantial increase in the number of displays and controllers in the cab. Excessive information and a complex driving interface not only increase the cognitive and operational burden on drivers but also seriously affect their work efficiency and decision-making quality, posing a major threat to the safety of train operations. Graphics in the driving interface are an important way for drivers to obtain various types of information during vehicle operation. Design issues such as their size, color, shape, and display mode often affect the efficiency of drivers' visual search. Highlighting is a visual strategy that marks a specific number of items through specific methods to improve the efficiency of visual search.This paper takes the train driving interface as the background and studies the visual search efficiency of the driver's graphical information under the influence of different color backgrounds, graphical color and flashing frequencies of the highlighting codes. Through the experiment, the reaction time and the correct response rate of the subjects are obtained, and the optimal combination of the three kinds of highlighting codes. When the black background and the flashing frequency of the red graphic is 27Hz, the search efficiency of the subjects is the highest, which can be used as the optimal solution for the graphic information highlighting in the design of the train driving interface.

AHFE internationalVol. 195
Openalex Percentile: Top 83%
Human-Automation Interaction and Safety
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