Human attention has become one of the most discussed yet least measured resources of the modern age. Despite its central role in cognition, behavior, and productivity, attention is mostly approached through subjective, anecdotal, or commercial lenses. The modern human exists under conditions of constant digital stimulation, fragmented information streams, and algorithmically optimized distractors. The consequences are clear: sustainable attention is becoming increasingly difficult, cognitive fatigue is widespread, and attention-related conditions are either over-medicalized or oversimplified.
Terms like "focus," "productivity," and "attention deficit" are frequently used — yet standardized measurements, open data, and reproducible experiments are virtually nonexistent. Attention is discussed everywhere but systematically measured almost nowhere.
We believe attention is not a label or a fixed trait — it is a dynamic signal. It changes over time. It responds to internal and external inputs. It can be observed, measured, and compared across individuals and conditions. Therefore, Attention Driven Human DAO asks a fundamentally different question: instead of "How do we fix attention?" we ask "How does attention behave?"
This perspective places understanding before intervention. We believe that meaningful solutions can only emerge from rigorous observation — not from assumptions or commercial interests.
Attention Driven Human DAO is a decentralized research collective that treats human attention as a measurable, variable, and context-sensitive cognitive signal — not as a "problem" or "diagnosis." Our fundamental purpose is to examine how attention emerges, how it fluctuates, and under what conditions it stabilizes or disrupts, using ethical, transparent, and reproducible methods.
We design ethical and simple attention experiments. We collect anonymous data without revealing participant identities. We share all findings openly and accessibly. We decide research priorities collectively with the community. Through the DAO structure, the research agenda is shaped not by a single institution, sponsor, or researcher, but by the collective decision of all contributing stakeholders.
Our scope is deliberately defined with clear boundaries. Attention Driven Human DAO does not: diagnose conditions, provide medical or clinical treatment, conduct drug or supplement trials, make therapeutic claims, or provide health guidance. Our purpose is to understand — not to intervene. This approach prevents over-medicalization and keeps research within an observational framework.
We are a research network that prioritizes long-term understanding over short-term results. In the initial phase, studies are deliberately kept simple to preserve measurement quality and methodological reliability. Over time, we may expand into larger datasets, longitudinal studies, wearable device data, and academic collaborations. The fundamental principle remains unchanged:
Measure first, then expand.