4 citations · 8 across the 7 of their papers we have counts for
5 papers · 1 filter
Disrupting Cognitive Passivity: Rethinking AI-Assisted Data Literacy through Cognitive Alignment
Yongsu Ahn, Nam Wook Kim, Benjamin Bach
AI chatbots are increasingly stepping into roles as collaborators or teachers in analyzing, visualizing, and reasoning through data and domain problem. Yet, AI's default assistant…
From Answer Givers to Design Mentors: Guiding LLMs with the Cognitive Apprenticeship Model
Yongsu Ahn, Lejun R Liao, Benjamin Bach +1
Design feedback helps practitioners improve their artifacts while also fostering reflection and design reasoning. Large Language Models (LLMs) such as ChatGPT can support design wo…
Understanding Why ChatGPT Outperforms Humans in Visualization Design Advice
Yongsu Ahn, Nam Wook Kim
This paper investigates why recent generative AI models outperform humans in data visualization knowledge tasks. Through systematic comparative analysis of responses to visualizati…
Exploring Teachers' Perception of Artificial Intelligence: The Socio-emotional Deficiency as Opportunities and Challenges in Human-AI Complementarity in K-12 Education
Soon-young Oh, Yongsu Ahn
In schools, teachers play a multitude of roles, serving as educators, counselors, decision-makers, and members of the school community. With recent advances in artificial intellige…
How Good is ChatGPT in Giving Advice on Your Visualization Design?
Nam Wook Kim, Yongsu Ahn, Grace Myers +1
Data visualization creators often lack formal training, resulting in a knowledge gap in design practice. Large language models such as ChatGPT, with their vast internet-scale train…