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The findings show that rendering alters visual attention and reading behavior: dynamic rendering induces fewer but longer fixations and more sustained focus, while structured rendering further guides attention toward semantically meaningful units and supports high-level understanding.
This work develops an interface that enables plan tracing and allows learners to receive AI feedback on their plans before writing code and reflects on the design and use of the tool, identifying what worked, what didn't, and why, and offers recommendations for instructors and tool designers.
The MM/AI workshop calls for a critical reassessment of how the authors understand and study mental models in human-AI interaction research, and aims to foster theoretical and methodological exchange on mental models in human-AI interaction, identify open challenges, and develop directions for future research.
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