RECIR Behavior explores how technology can help positive intentions become real, verified, repeated behaviors.
People may understand that an action is beneficial and genuinely intend to do it. But intention does not automatically become repeated behavior.
RECIR Behavior treats this as an active hypothesis — something to test, measure and refine rather than assume.
Many systems inform people, remind them, or reward them once. Fewer are designed around the harder question: what makes a person come back and repeat a positive action?
RECIR Behavior treats this as a research problem. The goal is to test which combinations of triggers, verification, feedback, progress, identity, and community can support repeat behavior.
The hypothesis is simple: do not just inspire the action. Design the return.
Recycling is useful for early research because the behavior can be repeated, observed, verified, measured, and connected to visible environmental impact.
Not downloads. Not likes. Not positive opinions. The signal that matters is whether a person performs a second verified action — and keeps returning.
Recycling gives RECIR Behavior a practical environment in which positive actions can be observed, verified and repeated. The goal is not to prove a theory in advance — it is to learn whether the system helps people return to the action.
Make the positive behavior easy to start.
Create credible evidence that the action happened.
Deliver immediate feedback, progress, or recognition.
Measure whether the person comes back and repeats.
Our early research focuses on whether a positive action can become verified and repeated. The timeline below illustrates the behavior pattern we want to measure — it is not a claim of validated results.
RECIR Behavior is an active hypothesis. We will treat evidence — not the original idea — as the deciding factor in what gets built next.
Read why RECIR exists →