A within-participants study with design students found that sketch inputs to an AI ideation tool increased fluency but students still preferred text prompts, pointing to design choices that could better preserve reflective practice.
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2 Pith papers cite this work. Polarity classification is still indexing.
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cs.HC 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Cognitive Trajectory Modeling offers a new conceptual framework for representing co-creative interaction dynamics as temporally organized trajectories in attractor landscapes, generalizing concepts from the Enactive Model of Creativity and Creative Sense-Making.
citing papers explorer
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Reviving Reflection-in-Action: Instilling Designerly Thinking in AI-Supported Ideation through Multimodal Prompting
A within-participants study with design students found that sketch inputs to an AI ideation tool increased fluency but students still preferred text prompts, pointing to design choices that could better preserve reflective practice.
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Cognitive Trajectory Modeling: Quantifying Human-AI Co-Creation through Cognitively Grounded Interaction Trajectories
Cognitive Trajectory Modeling offers a new conceptual framework for representing co-creative interaction dynamics as temporally organized trajectories in attractor landscapes, generalizing concepts from the Enactive Model of Creativity and Creative Sense-Making.