Steven Karrmann

Research

 

Research

“Optimal Visual Search Elements in Small Scale Map Design”

 
 

Abstract

Empirically verifying improvements in information design has previously resulted in the effective redesign of visual information. We now seek which specific elements, such as color and symbols, optimize information comprehension in everyday applications such as a campus map (neutral coloration & numerically-represented). Through a series of maps and tasks, we were able to determine which combinations of elements provoked improved comprehension in speed and accuracy of response. Participants were given a fictional baseline map (neutral & numeric), either a newly-colored or symbolically-represented fictional map, and either the original or new campus map (new color & symbolization). They were then given the same conditions the next day in order to measure retention. It was found that color and symbols improved information comprehension separately, but not when incorporated in unison. There was also no significant difference between conditions regarding retention. Elements appear to improve information comprehension differently depending on the scenario.

 

Honors

Spring Demo Day Presentation - Launch Labs @ Chapman University (April 2017)

Poster Presentation - Western Psychological Association Convention (April 2017)

Student Research Day - Chapman University (December 2016 & May 2017)

Outstanding Research Award - Senior Awards Banquet (May 2017)

Published Paper Presentation - International Applied Human Factors & Ergonomics Conference (July 2017)

 

Citation

Karrmann, S., & Shears, C. (2017, July). Optimal Visual Search Elements in Small Scale Map Design. In International Conference on Applied Human Factors and Ergonomics (pp. 417-424). Springer, Cham.