TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis | Paper Citation Record

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This paper cites How Do Analysts Understand and Verify AI-Assisted Data Analyses?.

TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis How Do Analysts Understand and Verify AI-Assisted Data Analyses?

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This paper cites How do Data Science Workers Collaborate? Roles, Workflows, and Tools,.

TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis How do Data Science Workers Collaborate? Roles, Workflows, and Tools,

Reference 2

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This paper cites Generative AI in Knowledge Work: Design Implications for Data Navigation and Decision-Making,.

TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis Generative AI in Knowledge Work: Design Implications for Data Navigation and Decision-Making,

Reference 3

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This paper cites Marco: Supporting Business Document Workflows via Collection-Centric Information Foraging with Large Language Models,.

TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis Marco: Supporting Business Document Workflows via Collection-Centric Information Foraging with Large Language Models,

Reference 4

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This paper cites Passages: Interacting with Text Across Documents|Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems.

TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis Passages: Interacting with Text Across Documents|Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems

Reference 5

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This paper cites Generative and Malleable User Interfaces with Generative and Evolving Task-Driven Data Model,.

TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis Generative and Malleable User Interfaces with Generative and Evolving Task-Driven Data Model,

Reference 6

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TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis Data analysis with ChatGPT

Reference 7

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TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis Claude 3.7 Sonnet and Claude Code

Reference 8

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This paper cites Sensecape: Enabling multilevel exploration and sensemaking with large language models,.

TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis Sensecape: Enabling multilevel exploration and sensemaking with large language models,

Reference 9

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This paper cites NoteEx: Interactive Visual Context Manipulation for LLM-Assisted Exploratory Data Analysis in Computational Notebooks,.

TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis NoteEx: Interactive Visual Context Manipulation for LLM-Assisted Exploratory Data Analysis in Computational Notebooks,

Reference 12

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TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis Exploration and Explanation in Computational Notebooks,

Reference 13

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This paper cites Managing Messes in Computational Notebooks|Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems.

TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis Managing Messes in Computational Notebooks|Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

Reference 14

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This paper cites Dynamic Prompt Middleware: Contextual Prompt Refinement Controls for Comprehension Tasks,.

TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis Dynamic Prompt Middleware: Contextual Prompt Refinement Controls for Comprehension Tasks,

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TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis Replit – Build apps and sites with AI

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This paper cites [Online].

TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis [Online]

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TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis Ai-instruments: Embodying prompts as instruments to abstract & reflect graphical interface commands as general-purpose tools,

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This paper cites Persist: Persistent and Reusable Interactions in Computational Notebooks,.

TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis Persist: Persistent and Reusable Interactions in Computational Notebooks,

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This paper cites How data science workers work with data: Discovery, capture, curation, design, creation,.

TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis How data science workers work with data: Discovery, capture, curation, design, creation,

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TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis Patterns of sharing customizable software,

Reference 23

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This paper cites Model-View-Controller (MVC) Architecture.

TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis Model-View-Controller (MVC) Architecture

Reference 24

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TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis Technology probes: inspiring design for and with families,

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TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis Generative Interfaces for Language Models

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TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis Misty: UI prototyping through interactive conceptual blending,

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TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis The GenUI study: Exploring the design of generative UI tools to support UX practitioners and beyond,

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TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis Figma Make: Create with AI-Powered Design Tools

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TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis Cursor - The AI Code Editor

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TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis v0 by Vercel

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TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis Introducing A2UI: An open project for agent-driven interfaces- Google Developers Blog

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TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis Potluck: Dynamic documents as personal software

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TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis DynaVis: Dynamically Synthesized UI Widgets for Visualization Editing,

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TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis Malleable Overview-Detail Interfaces,

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TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis Ideasynth: Iterative research idea development through evolving and composing idea facets with literature-grounded feedback,

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TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis InsightLens: Augmenting LLM-Powered Data Analysis With Interactive Insight Management and Navigation,

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TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis Available: https://doi.org/10.1145/3706598.3714057

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TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis ProactiveAgent: Personalized Context-Aware Reminder System,

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TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality,

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TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis User Experience Design Professionals’ Perceptions of Generative Artificial Intelligence|Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems

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TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis Dirty Data in the Newsroom: Comparing Data Preparation in Journalism and Data Science,

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TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis CollabCoder: A Lower-barrier, Rigorous Workflow for Inductive Collaborative Qualitative Analysis with Large Language Models,

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TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis Wrangler: interactive visual specification of data transformation scripts,

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TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis Using thematic analysis in psychology,

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TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis Reification, polymorphism and reuse: three principles for designing visual interfaces,

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TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis Instrumental interaction: an interaction model for designing post-WIMP user interfaces,

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TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis Think-Aloud Computing: Supporting Rich and Low-Effort Knowledge Capture,

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TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis Why am I seeing this: Democratizing End User Auditing for Online Content Recommendations

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TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis DrawTalking: Building interactive worlds by sketching and speaking,

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TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis Nasa-task load index (nasa-tlx); 20 years later,

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TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis NaturalEdit: Code Modification through Direct Interaction with Adaptive Natural Language Representation,

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TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis An Empathy-Based Sandbox Approach to Bridge the Privacy Gap among Attitudes, Goals, Knowledge, and Behaviors,

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TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis SQUIRE: Interactive UI Authoring via Slot QUery Intermediate REpresentations,

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TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis Graffiti: Enabling an Ecosystem of Personalized and Interoperable Social Applications|Proceedings of the 38th Annual ACM Symposium on User Interface Software and Technology

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TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis StoryEnsemble: Enabling Dynamic Exploration & Iteration in the Design Process with AI and Forward-Backward Propagation,

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This paper cites Available: https://dl.acm.org/doi/10.1145/345513.345267.

TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis Available: https://dl.acm.org/doi/10.1145/345513.345267

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TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis Available: https://doi.org/10.1145/3706598.3714259

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