PETER YANG
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Zoom+Making Online Meetings More Expressive

An experimental interaction design project that makes online meetings more expressive through shared canvases, gesture-driven reactions, background tools, and real-time visual filters.

Role
Led the project, programmed and tested interactions, trained the Teachable Machine model, and helped define the concept and experience
3 weeks, Fall 2020
Scope
Interaction Design
Computational Design
Project
Zoom Plus
Collaborated with
Lucy Du, Connie Yumih Chang

Where I started

Remote meetings can feel disconnected because facial expressions, gestures, and body language are harder to read through delayed video communication.

Standard video conferencing reactions are limited, making it difficult for participants to express mood, energy, and spontaneous responses naturally.

Designing the experience

Designed and prototyped shared Zoom background canvases with color, drawing, gesture, emoji, and filter interactions.

Trained gesture and expression models with Teachable Machine, then connected the model outputs to p5.js and ml5 visual effects.

Tested the prototype in Zoom using Processing, chromakey screens, OBS, and real-time video streams.

Learnings & reflection

Small visual reactions can make remote communication feel more immediate when normal body language cues are weakened.

Machine-learning prototypes need simple controls and clear feedback so expressive features feel lightweight rather than distracting.

© 2026 Peter HyunMyung Yang