Are you an expert in a particular aspect of signage?

Join one of our research advisory panels

Are you an expert in a particular aspect of signage (like energy efficiency, wayfinding, illumination, design, sign codes, ADA, retail, etc.)? Join one of our research advisory panels by filling out the form below or by emailing research@signresearch.org with your area of expertise. Our advisory panels give guidance and counsel to our teams of academic researchers. Please be sure to review the SRF Research Reviewer Guidelines.

Project Descriptions

  • Digital Wayfinding Trends: A Heuristic Evaluation of Museums, Healthcare, and Transit Experiences
    Experienced designers have deployed ground-breaking fusions of traditional and interactive wayfinding elements, animating the public realm and molding new user experiences. Museums, healthcare facilities, and transit systems have been particularly forward-thinking, combining apps, indoor location technology, and digital and static signage to guide visitors in their facilities. This research study will consist of three in-depth case studies (one museum, one healthcare, and one transit experience) supported by shorter capsule length summaries of other noteworthy programs in each setting.
  • Energy Usage & Efficiency Analysis of Model Illuminated Signs
    The amount of energy required to adequately illuminate a “typical sign” is not well understood nor is there a standard way in the industry of communicating the energy efficiency of illuminated signs. This research project will document the energy usage and efficiency of several typical and model on-premise sign types that are built with the most common lighting and light management configurations and operated under typical ambient lighting and environmental contexts. The intent of the research is to provide a better understanding of the factors that impact sign energy efficiency.
  • Signage and Streetscape Elements as Placemaking
    This study seeks to find the density of different streetscape elements to attract people, while still permitting on-premise signage to attract patrons' eyes and support economic activity. This study will use 3M's VAS software to measure pre-attentive visual processing and rasterized image scoring (Wang, 2015) to explore the relationship between element density and sign visibility. A logistic regression will analyze how much of a pedestrian vantage point scene may include trees, furniture, people, and other elements before a person is no longer able to find the business's on-premise sign during pre-attentive processing.
  • SRF Model Sign Code (2018 Revision)
    This project is a comprehensive update and revision of the 2009 Model Sign Code to reflect legal developments and current industry research and best practices. In particular it will revise the legal discussion in light of Reed v. Town of Gilbert and subsequent cases applying Reed, discuss best practices to ensure compliance with Reed as regards content neutrality and subsequent cases applying Reed, with particular emphasis on best practices for regulating temporary signs in a content-neutral manner, incorporate research findings on EMCs and traffic safety, add EMC brightness recommendation, and consider further revisions based on various research and other sources.