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TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis

Chen M. and Pavel A.
2026-07

À propos

July 2026 HCI paper examining how Generative UI can make long, multi-step chatbot analysis workflows easier to revisit and reuse. TaskArtisan lets people create analysis widgets and compose them into sequential or fan-out workflows, then compares the approach with a conventional chatbot in a 12-participant study.

Résumé

Why TaskArtisan Adds New Signal:

1. Composable generated UI: Treats generated widgets as reusable workflow building blocks rather than one-off responses
2. Analysis-specific design: Supports scripts, visualizations, and summaries across multi-step analytical work
3. Two composition modes: Covers both sequential pipelines and fan-out exploration
4. Evidence-backed trade-offs: Finds better clarity and visual presentation alongside rigidity and additional prompting costs
5. Practical framework: Organizes future designs around malleability, specification, and interoperability

Tags

generative-widgetsanalysiscompositionhuman-ai-interactionuser-study

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