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20232026
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cs.HC2026

ASAP: Visual Analytics for Identifying and Analyzing Image Patterns in AI-generated Images

Jinbin Huang, Yuki Ueno, Chen Chen +4

Generative image models can produce highly realistic images, raising concerns about potential misuse in creating deceptive content. Current deepfake approaches face several challen…

cs.HC2026

Harnessing LLMs Without Surrendering Control: Delegation Boundaries in Visual Data Storytelling Authoring

Zhuojun Jiang, Yuki Ueno, Chris Bryan

Despite the emergence of large language models (LLMs) for visual data storytelling workflows, there are open questions about how authors decide what activities or tasks to entrust…

cs.HC2026

VisCanvas: A Node-Based Interface for Exploratory Visualization Authoring with LLMs

Yuki Ueno, Bretho Danzy, Zhuojun Jiang +1

Visual data analysis involves both open-ended exploration and targeted question answering. Visualization authoring tools support this process by enabling users to create visualizat…

cs.HC2024

Mind Drifts, Data Shifts: Utilizing Mind Wandering to Track the Evolution of User Experience with Data Visualizations

Anjana Arunkumar, Lace Padilla, Chris Bryan

User experience in data visualization is typically assessed through post-viewing self-reports, but these overlook the dynamic cognitive processes during interaction. This study exp…

cs.HC2024

Defogger: A Visual Analysis Approach for Data Exploration of Sensitive Data Protected by Differential Privacy

Xumeng Wang, Shuangcheng Jiao, Chris Bryan

Differential privacy ensures the security of individual privacy but poses challenges to data exploration processes because the limited privacy budget incapacitates the flexibility…