Research on effective recognition of alarm signals in a human–machine system based on cognitive neural experiments

ABSTRACT

The rational design of the alarm signal in the man-machine system is an important factor in determining the occurrence of safety accidents. Neuroergonomics provides a new perspective for the study of the cognitive process of alarm signals, which can reveal the mechanism of human perception of visual alarm signals from the cognitive level of the brain, thereby identifying the effectiveness of alarm signals. This study simulates the new energy vehicle cooling man-machine system, uses the automatic control interface of the test cooling water system as the stimulation material, and uses the event-related potential technology in cognitive neuroscience to conduct experimental verification. The experimental results showed that: three kinds of alarm signals (color , color+shape, color+orientation) all induce visual mismatch waves, and the effective response of human to the alarm signal is color+orientation, color+shape, color from small to large, which provides a reference for the design of alarm signal.

KEYWORDS:

• human–machine system
• alarm signal
• neuroergonomics
• cognitive neurological experiment

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by Humanities and Social Sciences Research Foundation of the Ministry of education of China (18YJC630162); Young Talents of Northeast Agricultural University [Grant Number 20XG07]; The Open Project of the Key Laboratory of Modern Agricultural Equipment and Technology in the Northern Cold Region [Grant Number KF18-01]; Postdoctoral Fund Project of Heilongjiang Province [Grant Number LBH-Z17018].