Thinkink: 2D Spatial Ink-native Interaction with LLMs
People often use handwritten notes and sketches to externalize ideas for ideation. To integrate large language models (LLMs) into this practice, we propose Thinkink. Prompts can be handwritten text or drawn sketches with LLM-generated responses visualized as ink-like text and sketches spatially integrated into a shared canvas. A semantic tree streamlines ink interpretation, and a lightweight UI provides explicit control using a state machine. The tool was designed using a three-stage process. A formative study (N=12) examined current practices with conventional and digital inking methods. The results informed a technical probe for a diagnostic study (N=6) identifying usability and human-L...
| Authors | Mohammad Hasan Payandeh, Daniel Vogel, Jian Zhao |
|---|---|
| Primary category | cs.HC |
| Published | 23 July 2026 |
| Last updated at source | 23 July 2026 |
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