rTisane is currently an active research project at UCLA Computer Science.
Our ACM CHI 2024 paper describes the design, development, and evaluation of rTisane:
@inproceedings{jun2023rTisane,
title={rTisane: Externalizing Conceptual Models for Data Analysis Prompts Reconsideration of Domain Assumptions and Facilitates Statistical Modeling},
author={Jun, Eunice and Misback, Edward and Heer, Jeffrey and Just, Ren{\'e}},
journal={Proceedings of the 2024 ACM Conference on Human Factors in Computing Systems (CHI)},
pages={1--16},
year={2024}
}
A long-term goal is to develop an ecosystem of data analysis tools that leverage conceptual models as a core abstraction. We believe this will lower the barriers to valid statistical analysis.
If you are interested in supporting or contributing to this research, please get in touch!
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.