"The Diagram is like Guardrails": Structuring GenAI-assisted Hypotheses Exploration with an Interactive Shared Representation
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Abstract (arXiv)
Data analysis encompasses a spectrum of tasks, from high-level conceptual reasoning to lower-level execution. While AI-powered tools increasingly support execution tasks, there remains a need for intelligent assistance in conceptual tasks. This paper investigates the design of an ordered node-link tree interface augmented with AI-generated information hints and visualizations, as a potential shared representation for hypothesis exploration. Through a design probe (n=22), participants generated diagrams averaging 21.82 hypotheses. Our findings showed that the node-link diagram acts as "guardrails" for hypothesis exploration, facilitating structured workflows, providing comprehensive overviews, and enabling efficient backtracking. The AI-generated information hints, particularly visualizations, aided users in transforming abstract ideas into data-backed concepts while reducing cognitive load. We further discuss how node-link diagrams can support both parallel exploration and iterative refinement in hypothesis formulation, potentially enhancing the breadth and depth of human-AI collaborative data analysis.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 25 of its 56 references that are in the map. First posted on arXiv 21 Mar 2025.
Builds on
25 of 56 references.
References · 25
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13 more
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Built on by
Citing papers per year: 2025: 1; 2026: 3.
4 papers.
- 2026Alignment-Process-Outcome: Rethinking How AIs and Humans Collaboratecited by 1
- 2025ChatGraPhT: A Visual Conversation Interface for Multi-Path Reflection with Agentic LLM Supportcited by 0
- 2026AdaLens: Interactive Storyline for Monitoring and Steering Long-Running Agentic Data Analysiscited by 0
- 2026Asterism: Exploring and Synthesizing Scattered Observations into Literature-Grounded Hypotheses and Theoriescited by 0
- 2026Asterism: Exploring and Synthesizing Scattered Observations into Literature-Grounded Hypotheses and Theories2 Oct 2026
- 2026AdaLens: Interactive Storyline for Monitoring and Steering Long-Running Agentic Data Analysis18 Aug 2026
- 2026Alignment-Process-Outcome: Rethinking How AIs and Humans Collaborate9 Mar 2026
- 2025ChatGraPhT: A Visual Conversation Interface for Multi-Path Reflection with Agentic LLM Support28 Dec 2025
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- 2025HypoChainer: A Collaborative System Combining LLMs and Knowledge Graphs for Hypothesis-Driven Scientific Discovery
- 2025Draw with Thought: Unleashing Multimodal Reasoning for Scientific Diagram Generation
- 2025In-situ graph reasoning and knowledge expansion using Graph-PReFLexOR
- 2026HiLSVA: Design and Evaluation of a Human-in-the-Loop Agentic System for Scientific Visualization
- 2026Intentmaking and Sensemaking: Human Interaction with AI-Guided Mathematical Discovery
- 2026Higher-Order Knowledge Representations for Agentic Scientific Reasoning