HCI.TOPHCI, made easy

arrow_backBack to questions View categoryarrow_forward

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

How can always-listening technology optimize natural language interface command parsing in data visualization?

helpResearch questionNatural Language-Driven Data Visualization

How can always-listening technology optimize natural language interface command parsing in data visualization?

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

Similar questions

helpResearch questionNatural Language-Driven Data Visualization

How can bidirectional text-chart linking improve content consistency and information expression accuracy?

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

helpResearch questionNatural Language-Driven Data Visualization

How can users dynamically generate data-driven narrative text and optimize chart design through interaction?

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

helpResearch questionNatural Language-Driven Data Visualization

How can semantic modeling methods enhance semantic consistency between chart and text components?

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

helpResearch questionNatural Language-Driven Data Visualization

How does the contact-based 3D data visualization tool PAIRcolator support subjective data analysis and sharing in paired collaboration?

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

helpResearch questionNatural Language-Driven Data Visualization

Can paired collaboration promote users' deep behavioral reflection through in-depth dialogue and flexible narrative construction?

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

helpResearch questionNatural Language-Driven Data Visualization

How do transparent data bars, exploration canvases, and question cards jointly improve collaborative data interpretation efficiency?

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

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