VISxGenAI: 2nd GenAI, Agents, and the Future of VIS
Organizers:Zhu-Tian Chen,Nam Wook Kim,Saeed Boorboor,Shivam Raval,Pan Hao,Qianwen Wang,Vidya Setlur
Recent advances in agents (i.e., autonomous, goal-driven AI systems that iteratively observe, act, and learn from their environments) offer a fundamentally different approach from traditional AI models that passively respond to input. These agentic AI systems are rapidly reshaping how we approach data-intensive tasks and providing new opportunities for the VIS community. Imagine an agent autonomously generating visualizations to analyze complex data, discovering patterns collaboratively, testing hypotheses, and communicating visual insights at a speed and scale beyond human capability. Yet, the emergence of these powerful systems raises critical questions that the VIS community must address: Could autonomous agents eventually replace human data scientists, and if not, how might they best collaborate? Are current visualization techniques and interfaces, originally designed for human analysts, suitable for agent interactions? How can VIS designers effectively integrate agents into their workflows without compromising human agency? And to what extent should agents help shape and educate the next generation of visualization researchers? Through a mix of keynote talks, paper presentations, and an agentic VIS challenge, this workshop invites researchers and practitioners to share innovative ideas, explore these questions, and discuss strategies to transform the impact of VIS for a future where human and AI agents co-exist.
Papers
A Stevens' Power Law Measurement for Multimodal Large Language Models
AgentPulse: Visual Analytics of Communication and Activity in LLM-Based Multi-Agent Systems
Authors: Kathrin Guckes, Andreas Kyek
CanvasObs: Structured Spatial Observation for Agent Editing in 2D Workspaces
Authors: Jiahao Xu, Haohui Wang, Rebecca Faust, Dawei Zhou, Chris North
Evaluating Human-LLM Alignment on Visualization Preference
From Agents to Agency: Rethinking Human Agency in Agentic Visualization
Authors: Narges Mahyar, Mahmood Jasim, Niklas Elmqvist, Ali Sarvghad
Generate, Validate, Repair: Reliable Visual Data Reporting with LLM Agents
Authors: Naga Datha Saikiran Battula, Vrushali Koli, Bayan Divaaniaazar, Aritra Dasgupta
Graphical Perception Across Encoding Channels in Multimodal LLMs
Authors: Markus Wallinger, Jakob Tobias Zöbl, Stephen Kobourov
How Do Artificial Agents Make Decisions in Light of Visual Data?
Authors: Keyty Loza, Shayan Monadjemi
LLM Agents for Visualization Generation and Vision-First Evaluation
Measuring the Collaboration, Not the Agent: An Evaluation Framework for Human-AI High-Dimensional Visual Analytics
On Interpretability Methods for Vision Language Models in Visualization
Saying Uncertain, Showing Certain: Evidence-Action Mismatches in LLM Visualization Agents
Sycamore: Exploring Grounded Synthetic Evaluation for Visualization Systems
Authors: Huyen N. Nguyen, Astrid van den Brandt, Nils Gehlenborg
Toward AI VIS Co-Scientists: An Agent Harness for End-to-End Design of Scientific Visualization Applications
Authors: Haichao Miao, Zhimin Li, Kuangshi Ai, Kaiyuan Tang, Chaoli Wang, Peer-Timo Bremer, Shusen Liu
What Should the Agent Withhold? Designing Cognitive Friction Against Over-Reliance in Visualization Design Learning
Where LLMs Fail with Visualization DSLs
Authors: Chang Han, Andrew M McNutt, Katherine E. Isaacs