ReVISitPy: Python Bindings for the reVISit Study Framework
dc.contributor.author | Shrestha, Hilson | en_US |
dc.contributor.author | Wilburn, Jack | en_US |
dc.contributor.author | Bollen, Brian | en_US |
dc.contributor.author | McNutt, Andrew M. | en_US |
dc.contributor.author | Lex, Alexander | en_US |
dc.contributor.author | Harrison, Lane | en_US |
dc.contributor.editor | Diehl, Alexandra | en_US |
dc.contributor.editor | Kucher, Kostiantyn | en_US |
dc.contributor.editor | Médoc, Nicolas | en_US |
dc.date.accessioned | 2025-05-26T06:55:08Z | |
dc.date.available | 2025-05-26T06:55:08Z | |
dc.date.issued | 2025 | |
dc.description.abstract | User experiments are an important part of visualization research, yet they remain costly, time-consuming to create, and difficult to prototype and pilot. The process of prototyping a study-from initial design to data collection and analysis-often requires the use of multiple systems (e.g. webservers and databases), adding complexity. We present reVISitPy, a Python library that enables visualization researchers to design, pilot deployments, and analyze pilot data entirely within a Jupyter notebook. Re- VISitPy provides a higher-level Python interface for the reVISit Domain-Specific Language (DSL) and study framework, which traditionally relies on manually authoring complex JSON configuration files. As study configurations grow larger, editing raw JSON becomes increasingly tedious and error-prone. By streamlining the configuration, testing, and preliminary analysis workflows, reVISitPy reduces the overhead of study prototyping and helps researchers quickly iterate on study designs before full deployment through the reVISit framework. | en_US |
dc.description.sectionheaders | Posters | |
dc.description.seriesinformation | EuroVis 2025 - Posters | |
dc.identifier.doi | 10.2312/evp.20251133 | |
dc.identifier.isbn | 978-3-03868-286-8 | |
dc.identifier.pages | 3 pages | |
dc.identifier.uri | https://doi.org/10.2312/evp.20251133 | |
dc.identifier.uri | https://diglib.eg.org/handle/10.2312/evp20251133 | |
dc.publisher | The Eurographics Association | en_US |
dc.rights | Attribution 4.0 International License | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject | CCS Concepts: Human-centered computing → Visualization toolkits; User studies | |
dc.subject | Human centered computing → Visualization toolkits | |
dc.subject | User studies | |
dc.title | ReVISitPy: Python Bindings for the reVISit Study Framework | en_US |