helpResearch questionAnalysis Workflows and Information Extraction Tools
How do current what-if analysis tools neglect needs of non-technical users such as in business domains?Direction: Developer Tools and Programming Support
Analysis Workflows and Information Extraction Tools
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helpResearch questionAnalysis Workflows and Information Extraction Tools
Which interface designs and tools can non-technical users use to independently perform advanced analytical decisions?helpResearch questionAnalysis Workflows and Information Extraction Tools
What key technologies and interaction patterns are needed for what-if analysis tools designed for non-technical business users?lightbulbPractical problemAnalysis Workflows and Information Extraction Tools
Business professionals struggle to use existing complex tools for rapid data decisions.helpResearch questionAnalysis Workflows and Information Extraction Tools
How are emotion and speculative capacity manifested in the data analysis process?helpResearch questionAnalysis Workflows and Information Extraction Tools
How can combining autobiographical design with speculative design change traditional data analysis methods?helpResearch questionAnalysis Workflows and Information Extraction Tools
How can slow design and hyper-localized practice reimagine the ethics and human factors of data analysis?lightbulbPractical problemAnalysis Workflows and Information Extraction Tools
Traditional data analysis neglects emotion, culture, and ethics and is overly abstract.helpResearch questionAnalysis Workflows and Information Extraction Tools
How can data changes from code adjustments be effectively tracked and visualized during data analysis?helpResearch questionAnalysis Workflows and Information Extraction Tools
In exploratory data analysis, which data change visualization approach best supports data scientists' decisions?helpResearch questionAnalysis Workflows and Information Extraction Tools
How can real-time data difference tracking be integrated into programming tools to improve data analysis efficiency?lightbulbPractical problemAnalysis Workflows and Information Extraction Tools
Data scientists struggle to intuitively track how code modifications affect data.helpResearch questionAnalysis Workflows and Information Extraction Tools
How can user task patterns in text information extraction workflows be characterized from micro and iterative perspectives?helpResearch questionAnalysis Workflows and Information Extraction Tools
How can text information extraction tools effectively support fine-grained user operations and iterative workflows?helpResearch questionAnalysis Workflows and Information Extraction Tools
How can text information extraction tools be improved based on user behavior patterns to reduce cognitive load?lightbulbPractical problemAnalysis Workflows and Information Extraction Tools
In data science work, text information extraction tools are complex, inefficient, and impose heavy user burden.Related papers
CHI 2025
What-if Analysis for Business Professionals: Current Practices and Future Opportunities
Sneha Gathani, Zhicheng Liu, Peter J. Haas
CHI 2023
Autospeculation: Reflecting on the Intimate and Imaginative Capacities of Data Analysis
Brian Kinnee, Audrey Desjardins, Daniela Rosner
CHI 2022
Diff in the Loop: Supporting Data Comparison in Exploratory Data Analysis
April Yi Wang, Will Epperson, Robert A DeLine
CHI 2022
Characterizing Practices, Limitations, and Opportunities Related to Text Information Extraction Workflows: A Human-in-the-loop Perspective
Sajjadur Rahman, Eser Kandogan
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