People use visualization to better understand information that is important to them. With visualization, effective mapping between visual channels and data play a key role in bridging the gap between the intended meaning of a visual’s creator and the meaning assumed by an observer. In this major qualifying project, we contribute to the development, testing and community building of a framework for building visualization experiments through the creation and application of various participant tests, such as through the construction of a feedback experiment to find the closest association between graphical coloration and implicit meaning as inferred by participants.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Gardone, Luke
• Chen, Alvin

Subject

• Computing
• Project-Based Learning

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-042524-164618
• 121824

Keyword

• Framework
• Data Visulization
• Data

Advisor

• Harrison, Lane T.

Year

• 2024

Date created

• 2024-04-25

Resource type

• Major Qualifying Project

Major

• Computer Science

Source

• E-project-042524-164618

Rights statement

• In Copyright