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Xianghong Sun|Research on risky driver behaviors

Date:2017-08-04Author:

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孙向红W.jpg



  

Xianghong Sun

Professor

Ph.D. Adviser

Institute of Psychology of the Chinese Academy of Sciences (CAS)


After graduating from Wuhan University in 1989, she has worked at Institute of Psychology, CAS, and long engaged in the research on engineering psychology. She is also the council member of Chinese Psychological Society, the director of Engineering Psychology Specialized Committee, the deputy secretary general and standing committee member of Chinese Ergonomics Society.

Her research fields focus on the man-machine interface design and evaluation, driving behavior, psychological load and situation awareness. In the field of psychological selection, she participated in the development of “Flight ability comprehensive measurement evaluation system” from Air Force of the CPLA, and in 2001, she won the 2nd class prize of Military Science and Technology Progress Awards. She also participated in the project of “Study on method and evaluation standard of astronaut selection psychological interview” from China Manned Spaceflight Program. Based on the above research, in 2010, she won the 1st class prize of National Science and Technology Progress Awards as the main participant of the project “Medical and psychological selection systems and standards for Chinese soldiers”. In the field of basic research, she has undertaken the project "Study on baggage detection and visual search efficiency by X-ray" from National Natural Science Foundation of China. Up to now, she has published more than 30 papers in core journals and international conferences.


Topic of Lecture: Research on risky driver behaviors


Abstract: Evidence revealed that, for the two types of drivers: high vs. low accident-prone, to investigate the difference in information processing between them would be helpful to find the mechanism of driving accidents. The study focused on the information processing to negative emotional signals. Study 1 showed that dangerous drivers responded more slowly and had lower P300 amplitude to negative emotional stimuli compared to neutral. Further analysis showed strong correlation between negativity bias and numbers of accidents that happened to the recruited drivers in latest three years. Study 2 focused on one of the negative emotions——anger, which was more related to traffic accidents. Data showed that under subliminal visual priming, dangerous drivers had shortened P300 latency for angry faces than neutral faces during emotional stroop tasks. The anger bias was also found to be correlated with accident numbers and aggressive driving behaviors. In conclusion, the difference in negative emotional bias could be a good screening index for dangerous drivers in future.