activity
20232026
most citedVisualization for Human-Centered AI Tools

4 citations · 9 across the 14 of their papers we have counts for

collaborators

17 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

Visualization Autocomplete: Visualization Authoring via Stepwise Design Recommendations

Hyeon Jeon, Sungbok Shin, Niklas Elmqvist

When domain experts create charts, the bottleneck is rarely the data, but knowing the optimal next step in chart design. The visualization design space is vast, and while domain ex…

cs.HC2026★ 1 cited

A Multiliteracy Model for Interactive Visualization Literacy: Definitions, Literacies, and Steps for Future Research

Gabriela Molina León, Benjamin Bach, Matheus Valentim +1

This paper presents a theoretical model for interactive visualization literacy to describe how people use interactive data visualizations and systems. Literacies have become an imp…

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.HC2025

Hybrid User Interfaces: Past, Present, and Future of Complementary Cross-Device Interaction in Mixed Reality

Sebastian Hubenschmid, Marc Satkowski, Johannes Zagermann +9

We investigate hybrid user interfaces (HUIs), aiming to establish a cohesive understanding and adopt consistent terminology for this nascent research area. HUIs combine heterogeneo…

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

Data Therapist: Eliciting Domain Knowledge from Subject Matter Experts Using Large Language Models

Sungbok Shin, Hyeon Jeon, Sanghyun Hong +1

Effective data visualization requires not only technical proficiency but also a deep understanding of the domain-specific context in which data exists. This context often includes…

cs.HC2025★ 1 cited

"I Feel Like I'm Teaching in a Gladiator Ring": Barriers and Benefits of Live Coding in Classroom Settings

Caroline Berger, David Weintrop, Niklas Elmqvist

Live coding for teaching-synchronously writing software in front of students-can be an effective method for engaging students and instilling practical programming skills. However,…

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…

cs.HC2025

Characterizing Creativity in Data Visualization: Reflections and Future Directions

Tianwei Ma, Zinat Ara, Safwat Ali Khan +3

Creativity is valued in data visualization design and research, yet how it manifests remains unclear. Understanding creativity is essential for developing expressive visualization…

cs.HC2024

Drillboards: Adaptive Visualization Dashboards for Dynamic Personalization of Visualization Experiences

Sungbok Shin, Inyoup Na, Niklas Elmqvist

We present drillboards, a technique for adaptive visualization dashboards consisting of a hierarchy of coordinated charts that the user can drill down to reach a desired level of d…

cs.HC2024

Visualizationary: Automating Design Feedback for Visualization Designers using LLMs

Sungbok Shin, Sanghyun Hong, Niklas Elmqvist

Interactive visualization editors empower users to author visualizations without writing code, but do not provide guidance on the art and craft of effective visual communication. I…

cs.HC2024

DG Comics: Semi-Automatically Authoring Graph Comics for Dynamic Graphs

Joohee Kim, Hyunwook Lee, Duc M. Nguyen +4

Comics are an effective method for sequential data-driven storytelling, especially for dynamic graphs -- graphs whose vertices and edges change over time. However, manually creatin…

cs.HC2024★ 4 cited

Visualization for Human-Centered AI Tools

Naimul Hoque, Sungbok Shin, Niklas Elmqvist

Human-centered AI (HCAI) puts the user in the driver's seat of so-called human-centered AI-infused tools (HCAI tools): interactive software tools that amplify, augment, empower, an…

cs.HC2023

The HaLLMark Effect: Supporting Provenance and Transparent Use of Large Language Models in Writing with Interactive Visualization

Md Naimul Hoque, Tasfia Mashiat, Bhavya Ghai +4

The use of Large Language Models (LLMs) for writing has sparked controversy both among readers and writers. On one hand, writers are concerned that LLMs will deprive them of agency…