Finding a City Name in a Traffic Sign: Effects of Word Case and Visual Motion

Hum Factors. 2024 Jul;66(7):1928-1941. doi: 10.1177/00187208231192756. Epub 2023 Aug 10.

Abstract

Objectives: To investigate the word recognition effects of the use of all-uppercase (e.g., VALENCIA) or titled-case (e.g., Valencia) for city names in traffic signs, controlling for word size, and comparing stationary and dynamic viewing situations.

Background: Prior studies provide mixed evidence regarding the effects of word case on the recognition of city names in traffic signs. Moreover, the evidence on the potential impact of visual motion on these effects is scarce.

Method: We carried out an experimental study using simulated traffic signs. The task was to indicate, for each sign, whether it contained a given city name or not (word search task, 50% positive trials). Visual motion of signs was manipulated as a between-participants factor: stationary (the sign was still) versus dynamic (the sign expanded as if the participant was approaching to it). Word case was manipulated as a within-participants factor: all-uppercase versus two titled-case conditions varying in font size: width-matched titled-case and point size-matched titled-case.

Results: In both the stationary and dynamic conditions, all-uppercase resulted in more incorrect responses and slower latencies than width-matched titled-case. When compared to point size-matched titled-case, all-uppercase produced slower correct responses in the stationary condition, whereas faster in the dynamic condition.

Conclusion: Other factors being equal, all-uppercase city names will be recognized worse than their titled-case versions in traffic signs, both in stationary and dynamic situations.

Application: Results in the current experimental study would be of interest in the design of traffic signs and other circumstances in which text is presented in motion.

Keywords: display design principles; highway systems; information processing; language; visual search.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Cities
  • Female
  • Humans
  • Male
  • Pattern Recognition, Visual* / physiology
  • Recognition, Psychology / physiology
  • Young Adult