"The Diagram is like Guardrails": Structuring GenAI-assisted Hypotheses Exploration with an Interactive Shared Representation
Figure 1: Our system supports nonlinear AI-assisted hypothesis exploration that balances breadth and depth of exploration.Using the node-link diagram shared representation and integrated information hint panels that display preliminary results and related work, a participant in our user study deeply explored a branch of hypotheses around gender income gaps, including a nuanced hypothesis about field-specific gender disparities in income (A); but also simultaneously kept track of the overall hypothesis space, and backtracked to explore other hypothesis branches around variations in income by marital status (B), such as post-divorce impacts on income.A more detailed version Figure 10 can be found in Appendix B.
Authors
- Joel Chan (ORCID: https://orcid.org/0000-0003-3000-4160)
- Werner Geyer (ORCID: https://orcid.org/0000-0003-4699-5026)
- Zijian Ding (ORCID: https://orcid.org/0000-0002-6372-0369)
- Michelle Brachman (ORCID: https://orcid.org/0000-0001-8152-441X)
Institutions
- Cambridge Scientific (United States) (US)
- University of Maryland, College Park (US)
Publication Details
- Published
- 2025-06-22
- DOI
- https://doi.org/10.1145/3698061.3726935
- Citations
- 3
- Primary Topic
- Data Visualization and Analytics
- Type
- article
- Field-Weighted Citation Impact
- 3.83