Abstract
To improve the identification efficiency of safety signs in the subway, investigations on the safety signs of the subway were carried on. 158 participants were invited to participate the questionnaire test and the experiment to the redesigned safety signs. Tobii X2-30 was used to collect eye movement data and the area of interest (AOI). Wilcoxon rank sum test and Mann-Whitney U test were used to analyze the difference of the new safety signs and the original signs on the first saccade latency, the first fixation duration, and the total fixation duration in AOI. The results show that the value of P for four signs are less than 0.05. The analysis to eye movement are consistent with the selected subjects for the participants, which indicates that the new designed safety signs are better than the original. And the parameters that mentioned can be used for the test of signs.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Wang, L.: Safety certification logo in China: situation and tasks. Saf. Coal Mines 07, 79–80 (2007)
Chen, J.J., Yan, H., Xiang, J.: Study of decoding mental state based on eye tracks using SVM. Comput. Eng. Appl. 47(11), 39–42 (2011)
Sun, G., Li, Q., Meng, Y., Ran, L.: Research on optimization of information coding for car dashboard based on eye movement analysis. In: International Conference on Applied Human Factors and Ergonomics, pp. 122–135. Springer, Cham (2019)
Sun, G., Li, Q., Fu, P., Ran, L.: Analysis and optimization of information coding for automobile dashboard based on human factors engineering. China Saf. Sci. J. 28(8), 68–74 (2018)
Guilei, S.: Research on location of emergency sign based on virtual reality and eye tracking technology. In: International Conference on Applied Human Factors and Ergonomics, pp. 401–408. Springer, Cham (2019)
Sun, G., Li, Q., Meng, Y., Ran, L., Fu, P.: Design of car dashboard based on eye movement analysis. Packing Eng. 41(2), 148–160 (2020)
Li, L.N., Jiang, W., Zhang, Y.N.: Background shape and the background color of safety sign. China Public Secur. 1, 117–120 (2014)
Bian, J.: Research on the Perception Mechanism of Safety Management: A Neuro-Industrial Engineering Perspective. Zhejiang University (2014)
He, Q.H., Song, S.X., Gu, Y.B., Xiao, C.Y.: Practical example evaluation on effectiveness of safety signs in assembly occupancies. J. Saf. Sci. Technol. 11(09), 132–137 (2015)
Li, S.B., Jiang, W., Zhang Y.N., Li, L.N.: Analysis of individual influence factors on safety sign understanding in mine workplace. Min. Saf. Environ. Prot. 42(4), 113–116 + 120 (2015)
GB 2893.1: Graphic Symbols Safety Colors and Safety Signs-Part 1: Design Principles for Safety Signs and Safety Marking (2013)
Hu, Y.C., Zhou, X.H., Wang, L.: Investigation into recognizability of safety signs: sign features and user factors. China Saf. Sci. J. 23(3), 16–21 (2013)
Cui, C.C.: Study on Safety Sign’s Recognition Based on Eye Tracking Technology. Henan Polytechnic University, pp. 36–45 (2014)
Zhang, X.F., Ye, W.L.: Review of oculomotor measures in current reading research. Stud. Psychol. Behav. 03, 236–240 (2006)
Zhang, K., Cui, C.C., Niu, G.Q., Jing, G.X.: Research on the visual attention and identification features of the shapes and colors of the safety signs. J. Saf. Environ. 14(06), 18–22 (2014)
Liu, C.: The Evaluation Method of the Machinery Cab Interior Based on The Eye-moment Research. Shandong University. pp. 81–84 (2010)
Acknowledgements
The presented work has been supported by General project of China University of Labor Relations (20XYJS020).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Sun, G., Meng, Y., Li, Q., Wan, Z., Wang, Y. (2020). Analysis on the Redesigned Metro Safety Signs Based on Eye Tracking. In: Stanton, N. (eds) Advances in Human Aspects of Transportation. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1212. Springer, Cham. https://doi.org/10.1007/978-3-030-50943-9_51
Download citation
DOI: https://doi.org/10.1007/978-3-030-50943-9_51
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-50942-2
Online ISBN: 978-3-030-50943-9
eBook Packages: EngineeringEngineering (R0)