What’s a “good” feedback loop for social skills without turning life into a scoreboard?

Reddit r/artificial / 4/12/2026

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Key Points

  • The post argues that people typically receive delayed, ambiguous feedback in social interactions (e.g., awkward silences or reduced responsiveness), making it hard to learn effectively from experience.
  • It proposes a wearable AI concept that delivers lightweight, real-time signals about social dynamics (such as attention increases or disengagement) using on-device computer vision.
  • The concept emphasizes privacy by avoiding recording or storage, performing immediate processing and then discarding data.
  • The author is explicitly concerned about avoiding gamification or turning relationships into metrics, and asks how to design feedback so it remains helpful rather than obsessive.
  • They seek guidance on red flags that indicate over-optimization pressure and whether feedback should be delivered after-the-fact instead of in real time.

I’ve been thinking about feedback loops for social behavior. Most of us only get delayed, messy feedback: awkward silence, a vibe shift, someone not replying and so on... well, it’s hard to learn from.

I’m exploring a wearable AI concept that gives lightweight real-time signals (like “attention increased” or “people are disengaging”) based on on-device computer vision. No recording, no storage, just immediate processing and discard.

I’m not trying to gamify people or turn relationships into metrics. I’m trying to find the line where feedback is helpful, not obsessive.

What would be a red flag that the product is pushing people into over-optimization? Should feedback be “after the fact” summaries only, not real-time? I'm open to your ideas and opinions.

submitted by /u/Regular-Paint-2363
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