CS: MQP: Harrison: ReVISit-ing the Classics: Evaluating A Framework for Replicable Data Visualization Experiments (2024-2025)

Abstract

This project aims to understand how open-source visualization software can allow for a lower skill and wealth threshold in data visualization research, allowing up-and-coming researchers to have as many opportunities as those backed by wider experience or a higher wealth. The team studied different software based on open source philosophy and the ways in which bridging these gaps can occur. To better understand the goal of these programs, the team used the open-source visualization software ReVISit to recreate the stimuli and procedure of the existing study "'Seeing what you believe or believing what you see?' Belief Biases Correlation Estimation”. The project will work to compare preexisting open source survey software to ReVISit, in order to find methods of improvement and current benefits of using ReVISit while also understanding the wider benefits of open source software in survey taking overall