84 citations · 212 across the 15 of their papers we have counts for
5 papers · 2 filters
Structure-Aware Rendering: How Code Reveal Shapes Programmers' Visual Attention
Xiaotian Su, Jan Brasser, David Robert Reich +2
AI coding interfaces present generated code either all at once or token-by-token. These rendering strategies reflect model generation rather than how programmers actually read code…
Notrix: Understanding Machine Learning Solutions Across Computational Notebooks at Scale
Xiaotian Su, Hongxin Fu, Xiaoyu Zhang +1
Computational notebooks make problem-solving visible, but typically only one notebook at a time. Meanwhile, in data science platforms like Kaggle, one competition can accumulate hu…
[MM/AI] Mental Models in Human-AI Interaction: Methods and Challenges in the Generative and Agentic AI Era (Workshop)
Téo Sanchez, Bhada Yun, Prerna Ravi +6
The mental model construct is widely used in HCI to refer to the knowledge structure people hold in order to reason about and interact with computing systems. Yet it is often opera…
When Should Teachers Control AI Generation for Mathematics Visuals?
Zhengxu Li, Junling Wang, April Yi Wang
Generative AI has the potential to help teachers rapidly create classroom-ready visual materials, particularly in mathematics where diagrams and visual representations must be peda…
AI Phenomenology for Understanding Human-AI Experiences Across Eras
Bhada Yun, Evgenia Taranova, Dana Feng +2
There is no 'ordinary' when it comes to AI. The human-AI experience is extraordinarily complex and specific to each person, yet dominant measures such as usability scales and engag…