Attention Regulation

Definition

Attention Regulation examines the mechanisms, conditions and outcomes through which this factor shapes human cognition, learning, collaboration or sustainable performance in AI-supported settings.

Why this matters

Attention Regulation may materially affect human capability, independence, confidence, safety and productivity. Poorly designed assistance can create hidden costs even where short-term output appears to improve.

Research questions

What timing and modality of AI intervention best restore sustained attention after distraction?

Hypotheses

Low-frequency, user-configured attention resets will increase sustained focus more than adaptive notifications triggered solely by behavioural telemetry.

Proposed methods

controlled task experiments; repeated-measures studies; ecological momentary assessment; interaction telemetry; interviews; pre-registered analysis; active comparison; subgroup and accessibility analysis; delayed retention or longitudinal follow-up; adverse-effect capture; reproducibility testing; participant debrief

Stakeholders and beneficiaries

cognitive scientists; occupational psychologists; human-factors engineers; employers; educators; workers; AI product teams; attention researchers; digital wellbeing designers