About

Data Visualization

Data visualization is the practice of transforming raw data into graphical representations that are easy to understand, interpret, and act upon. It bridges the gap between complex datasets and meaningful insights, enabling researchers and stakeholders to make informed decisions.

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Human-AI Interaction and Collaboration

Investigate how humans and AI collaborate effectively through visualization. Our research explores various aspects of human-AI interaction, ensuring that AI systems are designed with human needs and feedback in mind.

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Inclusive Data Experiences

Ensure accessibility and inclusivity in data visualization. Our research focuses on designing data experiences that are adaptable to diverse user needs, enabling equitable access to information regardless of ability, device, or background.

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Research Topics

Data Visualization

Natural Language Interfaces for Data Visualization

Data-Driven Communication and Storytelling

Interactive Exploration of Text/Image/Video Data

Data Visualization for Responsible AI

Human-AI Interaction and Collaboration

Evaluation of Generative AI Models

Human-in-the-loop Workflows for AI Systems

Collaboration Dynamics Between Humans and AI Agents

AI-Powered Persona Development and Application

Inclusive Data Experiences

Accessible Data Visualization

Synergistic Multimodal Interaction

Mobile Data Access and Exploration

Digital Literacy for Marginalized Populations