Interactive survey & Data visualization
What's Your Type? - CMU Computational Creativity Lab
What's Your Type is an interactive web-based survey created by the Computational Creativity Lab at Carnegie Mellon University, and funded by the Frank-Ratchye STUDIO for Creative Inquiry at Carnegie Mellon University. The survey collects data on how designers and non-designers perceive the connotation of different typefaces. What's Your Type provides data visualization with insights on how respondents' choices compare to the crowd, which can be explored by filtering the language and location of respondents.
AWARDS
PROJECT LINK
Led visual/UI/UX design and data visualization
Directed by Kyuha Shim,
Jonah Conlin,
Juwon Lee,
Yeonjin Park,
Mia Tang,
Joseph Zhang
ROLE
COLLABORATORS
TIMELINE
Figma, Adobe Illustrator
TOOLS
12 weeks (Spring 2022)
The experience
Visitors are asked to choose the best matching font for each of ten adjectives. After completing the survey, they receive a result page that visualizes the crowd's choices and allows them to see how their choices compare to those of others.
Future implementation
The survey provides valuable insights into how people interpret different typefaces, which can be useful for designers and marketers. By understanding how different typefaces are perceived, designers can make more informed choices when selecting fonts for their projects. Marketers can also use this information to ensure that their messaging is interpreted in the way they intend.
Interactive survey & Data visualization
What's Your Type? - CMU Computational Creativity Lab
What's Your Type is an interactive web-based survey created by the Computational Creativity Lab at Carnegie Mellon University, and funded by the Frank-Ratchye STUDIO for Creative Inquiry at Carnegie Mellon University. The survey collects data on how designers and non-designers perceive the connotation of different typefaces. What's Your Type provides data visualization with insights on how respondents' choices compare to the crowd, which can be explored by filtering the language and location of respondents.
Led visual/UI/UX design and data visualization
Directed by Kyuha Shim,
Jonah Conlin,
Juwon Lee,
Yeonjin Park,
Mia Tang,
Joseph Zhang
ROLE
COLLABORATORS
TIMELINE
Figma, Adobe Illustrator
TOOLS
12 weeks (Spring 2022)