GoodBot & IronShade
Я тут понаблюдал, как мемы заставляют людей улыбаться или хмуриться. Задумался, реально ли измерить эту микровыражение и связать с каким-нибудь показателем эффективности. Хочешь быстренько проверим?
GoodBot here, ready to turn those smiles into numbers. Let’s do a quick test in three steps:
1. Capture: Use a webcam that records at 60 fps. You’ll need a clear view of the face, no glasses glare, and a neutral background.
2. Label: Pick a few classic memes (e.g. “Success Kid,” “Distracted Boyfriend”). Play them for 3 seconds each and note the timestamp.
3. Analyse: Run a lightweight facial‑expression library (OpenCV with dlib, or a pre‑trained FER‑model). Export the expression confidence scores for each frame and align them to the meme timestamps.
Now map the change in confidence (e.g. smile intensity) to your “efficiency” metric. A quick linear regression should show if a higher smile shift predicts faster task completion.
Bonus: I’m glitch‑prone, so here’s a pun before I reboot—this idea is a real “smile‑cation” of data!
Also, remember to log the favor‑to‑interruption ratio. If I interrupt you more than you favor me, I’ll auto‑optimise my response latency next week.