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Visualization, Analytics, and Data Understanding / Natural Language-Driven Data Visualization

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

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

Similar questions

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

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

Related papers

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

Arjun Srinivasan, Vidya Setlur, Arvind Satyanarayan

PAIRcolator: Pair Collaboration for Sensemaking and Reflection on Personal Data

Di Yan, Jacky Bourgeois, Yen-Chia Hsu

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

Kwon Ko, Hyeon Jeon, Gwanmo Park

DynaVis: Dynamically Synthesized UI Widgets for Visualization Editing

Priyan Vaithilingam, Elena L. Glassman, Jeevana Priya Inala

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

Bernhard Jordan, Laura Koesten, Torsten Möller

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

Damien Masson, Sylvain Malacria, Géry Casiez

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

Yining Cao, Jane L. E, Zhutian Chen

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

Vidya Setlur, Melanie Tory

IGScript: An Interaction Grammar for Scientific Data Presentation

Richen Liu, Min Gao, Shunlong Ye

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

Young-Ho Kim, Bongshin Lee, Arjun Srinivasan

Collecting and Characterizing Natural Language Utterances for Specifying Data Visualizations

Arjun Srinivasan, Nikhila Nyapathy, Bongshin Lee