Direction: Visualization, Analytics, and Data Understanding

Natural Language-Driven Data Visualization

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All Research questions Practical problems

lightbulbPractical problemNatural Language-Driven Data Visualization

In data visualization, text and charts cannot be linked in real time, making it difficult for users to efficiently express complex data.

IUI '25Pluto: Authoring Semantically Aligned Text and Charts for Data-Driven Communication

lightbulbPractical problemNatural Language-Driven Data Visualization

Users struggle to reveal behavioral patterns and contextual connections through collaboration when analyzing personal data.

CHI '25PAIRcolator: Pair Collaboration for Sensemaking and Reflection on Personal Data

lightbulbPractical problemNatural Language-Driven Data Visualization

Users struggle to obtain high-quality paired natural language descriptions and charts, hindering progress in convenient interaction.

CHI '24Natural Language Dataset Generation Framework for Visualizations Powered by Large Language Models

lightbulbPractical problemNatural Language-Driven Data Visualization

Non-expert users struggle to edit charts through complex interfaces or low-level language specifications.

CHI '24DynaVis: Dynamically Synthesized UI Widgets for Visualization Editing

lightbulbPractical problemNatural Language-Driven Data Visualization

Users often encounter command ambiguity or errors when generating data charts with natural language, affecting efficiency.

IUI '23A Study on Persistent Listening Interfaces for Supporting Data Exploration

lightbulbPractical problemNatural Language-Driven Data Visualization

Non-expert users struggle to explore data deeply through existing voice interfaces.

CUI '23Chatting About Data - Interacting with Voice Interfaces to Engage with Election Panel Data

lightbulbPractical problemNatural Language-Driven Data Visualization

Researchers and nonprofits struggle to effectively analyze open-ended survey data.

CSCW '23FeedbackMap: A Tool for Making Sense of Open-ended Survey Responses

lightbulbPractical problemNatural Language-Driven Data Visualization

Readers struggle to efficiently understand and compare numerical information in data-intensive text.

CHI '23Charagraph: Interactive Generation of Charts for Realtime Annotation of Data-Rich Paragraphs

lightbulbPractical problemNatural Language-Driven Data Visualization

Creating animated unit visualizations requires multiple tools, resulting in fragmented and inefficient workflows.

CHI '23DataParticles: Block-based and Language-oriented Authoring of Animated Unit Visualization

lightbulbPractical problemNatural Language-Driven Data Visualization

When generating data visualizations through natural language, users' commands are often misunderstood and operations are complex.

CUI '22Articulate+: An Always-Listening Natural Language Interface for Creating Data Visualizations

lightbulbPractical problemNatural Language-Driven Data Visualization

Users struggle to naturally obtain effective data insights when interacting with analytic chatbots.

CHI '22How do you Converse with an Analytical Chatbot? Revisiting Gricean Maxims for Designing Analytical Conversational Behavior

lightbulbPractical problemNatural Language-Driven Data Visualization

Domain experts struggle to easily create fluent visual presentations and animations of scientific data, increasing communication barriers.

CHI '21IGScript: An Interaction Grammar for Scientific Data Presentation

lightbulbPractical problemNatural Language-Driven Data Visualization

Health apps on smartphones poorly support data navigation and temporal exploration, making deep analysis difficult for users.

CHI '21Data@Hand: Fostering Visual Exploration of Personal Data on Smartphones Leveraging Speech and Touch Interaction

lightbulbPractical problemNatural Language-Driven Data Visualization

Non-expert users lack technical terminology and struggle to describe data visualization needs in natural language.

CHI '21Collecting and Characterizing Natural Language Utterances for Specifying Data Visualizations

Adjacent categories

Visualization, Analytics, and Data Understanding

Natural Language-Driven Data Visualization

All questions

Related papers

Pluto: Authoring Semantically Aligned Text and Charts for Data-Driven Communication

PAIRcolator: Pair Collaboration for Sensemaking and Reflection on Personal Data

Natural Language Dataset Generation Framework for Visualizations Powered by Large Language Models

DynaVis: Dynamically Synthesized UI Widgets for Visualization Editing

Chatting About Data - Interacting with Voice Interfaces to Engage with Election Panel Data

Charagraph: Interactive Generation of Charts for Realtime Annotation of Data-Rich Paragraphs

DataParticles: Block-based and Language-oriented Authoring of Animated Unit Visualization

How do you Converse with an Analytical Chatbot? Revisiting Gricean Maxims for Designing Analytical Conversational Behavior

IGScript: An Interaction Grammar for Scientific Data Presentation

Data@Hand: Fostering Visual Exploration of Personal Data on Smartphones Leveraging Speech and Touch Interaction

Collecting and Characterizing Natural Language Utterances for Specifying Data Visualizations

Adjacent categories

Visual Authoring, Dashboards, and Chart Comprehension

Machine Learning Model Visual Analytics

Time Series Semantic Retrieval and Trend Analysis

Scientific, Cultural, and Domain Data Analytics

Data Storytelling and Narrative Visualization Needs

Machine Learning Model Visualization, Debugging, and Explainability Support

Visual Analytics Explanation, Methods, and Workflows

ML/AI Model Visualization and Explainable Analysis