Papers
1
Total Citations
7
H-Index
1
About
Deying Pan is a rising researcher in Human-Computer Interaction (HCI), with a focus on democratizing the design of interactive shape displays through novel materials and fabrication techniques. Their most-cited work, "MagPixel: Modular Toolkit for Designing Interactive Magnetic Shape Displays" (2024, 7 citations), introduces a groundbreaking modular toolkit that leverages magnetic soft materials—known for their instant responsiveness and flexibility—to enable non-experts to create customizable, interactive shape displays. This contribution addresses a key barrier in HCI: making advanced shape-changing interfaces accessible to designers, educators, and hobbyists without specialized engineering backgrounds. Pan’s research bridges material science and interaction design, offering a scalable, low-cost approach to prototyping dynamic surfaces. By lowering the entry point for creating responsive, tactile interfaces, their work has the potential to transform fields from assistive technology to data physicalization. As an early-career scholar, Pan’s innovative toolkit has already garnered attention for its practical impact, positioning them as a promising voice in the future of tangible and embodied interaction.
Research Focus
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Top Papers
- 1