What I'm Building: Current Explorations and Community Vote
A live working note for the interaction patterns I am testing around accessible video, multimodal AI, and community-shaped product direction.
This note collects the prototypes that used to live on the home page: four interaction patterns for making video, sign language, and AI-supported interfaces easier to inspect, compare, and improve.
The vote below is intentionally lightweight. It lets people judge the same interaction by usefulness and excitement, because accessible product direction should be shaped by both practical fit and the feeling that the idea has energy.
What I'm building
Here's what I'm currently exploring.
If any of this sparks something... jump in.- 01Ambient layer
Communication tools that go beyond audio and text
Background videoA full-bleed background video behaves like the interface surface itself, with the content floating above the motion.
- 02Tap reveal
AI that understands real, multimodal interaction
Tap revealThe video stays hidden until the person asks for it, then reveals in place without taking over the surrounding context.
- 03Scroll scrub
Sign language detection and inclusive interfaces
Frames follow scrollThe video advances by scroll position, turning movement through the page into a frame-by-frame interaction model.
- 04Split screen
Community-driven technology that reflects real users
Split-screen layoutA split-screen card keeps the written context on the left while the video stays inspectable at a stable one-to-one ratio on the right.
Community vote
Which interaction felt most useful, and which one felt most exciting?
Pick the video card interaction you are judging, then rate it. The results update immediately so the design direction can respond to the people it is meant to serve.Most Deaf-friendly
4.2Most cool
4.2Why this is a UX case study
This is a compact example of community-driven design: the same prototype can be evaluated for accessibility value and emotional pull, then improved based on what Deaf users and collaborators actually choose. That makes the interaction more than a visual experiment. It becomes evidence for prioritizing inclusive video patterns, reducing assumptions, and designing with community feedback in the loop.