Traffic symbol recognition modulates bodily actions

PLoS One. 2019 Mar 25;14(3):e0214281. doi: 10.1371/journal.pone.0214281. eCollection 2019.

Abstract

Traffic signals, i.e., iconic symbols conveying traffic rules, generally represent spatial or movement meanings, e.g., "Stop", "Go", "Bend warning", or "No entry", and we visually perceive these symbols and produce appropriate bodily actions. The traffic signals are clearly thought to assist in producing bodily actions such as going forward or stopping, and the combination of symbolic recognition through visual perception and production of bodily actions could be one example of embodied cognition. However, to what extent our bodily actions are associated with the symbolic representations of commonly used traffic signals remains unknown. Here we experimentally investigated how traffic symbol recognition cognitively affects bodily action patterns, by employing a simple stimulus-response task for traffic sign recognition with a response of either sliding or pushing down on a joystick in a gamepad. We found that when operating the joystick, participants' slide reaction in response to the "Go" traffic symbol was significantly faster than their push reaction, while their response time to the "Stop" signal showed no differences between sliding and pushing actions. These results suggested that there was a possible association between certain action patterns and traffic symbol recognition, and in particular the "Go" symbol was congruent with a sliding action as a bodily response. Our findings may thus reveal an example of embodied cognition in visual perception of traffic signals.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Female
  • Humans
  • Male
  • Middle Aged
  • Pattern Recognition, Visual / physiology*
  • Reaction Time
  • Symbolism
  • Visual Perception / physiology*
  • Young Adult

Grants and funding

This research was funded by Japan Society for the Promotion of Science (JSPS) and Ministry of Education, Culture, Sports, Science and Technology (MEXT) KAKENHI (#18H03503 and #4903, JP17H06380, both awarded to HK). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.