most citedAgentic Visualization: Extracting Agent-based Design Patterns from Visualization Systems

2 citations · 3 across the 7 of their papers we have counts for

collaborators

9 papers

cs.HC2026

Living Dashboards: Automatically Self-Updating Visualization Dashboards

Mingyu An, Heyon Jeon, Sungbok Shin +4

Visualization dashboards are widely used interactive tools, but a disconnect exists between the dynamic data they display and their static structure. End-users cannot modify the da…

cs.HC2026

The Future of Visualization Dashboards in the Age of Generative AI

Vaishali Dhanoa, Duosi Dai, Gabriela Molina Léon +2

Generative AI promises easier dashboard creation, raising questions about the future of dashboards and the people who create and use them. We interviewed 16 experts based in 14 cou…

cs.HC2026

InvestChat: Exploring Multimodal Interaction via Natural Language, Touch, and Pen in an Investment Dashboard

Sarah Lykke Tost, Adson Lucas de Paiva Sales, Henrik Østergaard +2

We designed and implemented InvestChat, a multimodal tablet-based application that supports stock market exploration with multiple coordinated views and an LLM-powered chat. We eva…

cs.HC2026

Context-Mediated Domain Adaptation in Multi-Agent Sensemaking Systems

Anton Wolter, Leon Haag, Vaishali Dhanoa +1

Domain experts possess tacit knowledge that they cannot easily articulate through explicit specifications. When experts modify AI-generated artifacts by correcting terminology, res…

cs.HC2025★ 1 cited

Hey Dashboard!: Supporting Voice, Text, and Pointing Modalities in Dashboard Onboarding

Vaishali Dhanoa, Gabriela Molina León, Eve Hoggan +3

Visualization dashboards are regularly used for data exploration and analysis, but their complex interactions and interlinked views often require time-consuming onboarding sessions…

cs.HC2025

Participatory AI: A Scandinavian Approach to Human-Centered AI

Niklas Elmqvist, Eve Hoggan, Hans-Jörg Schulz +45

AI's transformative impact on work, education, and everyday life makes it as much a political artifact as a technological one. Current AI models are opaque, centralized, and overly…

cs.AI2025

Multi-Agent Data Visualization and Narrative Generation

Anton Wolter, Georgios Vidalakis, Michael Yu +2

Recent advancements in the field of AI agents have impacted the way we work, enabling greater automation and collaboration between humans and agents. In the data visualization fiel…

cs.HC2025★ 2 cited

Agentic Visualization: Extracting Agent-based Design Patterns from Visualization Systems

Vaishali Dhanoa, Anton Wolter, Gabriela Molina León +2

Autonomous agents powered by Large Language Models are transforming AI, creating an imperative for the visualization field to embrace agentic frameworks. However, our field's focus…

cs.HC2025

The Plot Thickens: Quantitative Part-by-Part Exploration of MLLM Visualization Literacy

Matheus Valentim, Vaishali Dhanoa, Gabriela Molina León +1

Multimodal Large Language Models (MLLMs) can interpret data visualizations, but what makes a visualization understandable to these models? Do factors like color, shape, and text in…