Symbolic Similarity of Traffic Signals Based on Human Visual Perception
Icons with identical features convey to users a semantic structure, but a strong visual grouping hint may hinder users from locating interface items. This study took traffic lights as an example to explore the degree to which similarities within a set of icons influence user decisions. The experiment simulated the situation of traffic lights with four types of symbols. Ten participants were asked to respond correctly to the green signal. The behavioral experiment showed that participants have the lowest reaction time to symbols exclusive elements that have no effect on semantics. The relationship between the reaction time and symbolic similarities of those four types of traffic lights was analyzed by the proposed method of computing item similarity. The results showed similarity values were highly consistent with the reaction time. The implications of the results are applicable to design a set of icons that have less effect on the user’s quick recognition.
KeywordsIcon similarity Decision-making Traffic signals Visual perception
This work was supported jointly by National Natural Science Foundation of China (no. 71871056), National Natural Science Foundation of China (no. 71471037), Science and Technology on Avionics Integration Laboratory and Aeronautical Science Fund (No. 20185569008).
- 4.Jianrong, T., Xiaoli, Y., Guodong, L.: Basic principles and methods of graphic similarity and their applications in structural pattern recognition. Chin. J. Comput. 25, 959–967 (2002)Google Scholar
- 5.Zauner, C.: Implementation and benchmarking of perceptual image hash functions. Master’s thesis, Upper Austria University of Applied Sciences, Linz (2010)Google Scholar
- 7.Mccormick, E.J., Sanders, M.S.: Human Factors in Engineering and Design. Tata McGraw-Hill, New York (1982)Google Scholar