Human-AI Cognition & Performance / Human Performance and Wellbeing
SUB-0061Motivation Regulation
Definition
Motivation 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
Motivation 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
How can AI support motivation without manipulation or external reward dependence?
Hypotheses
Values-linked planning and progress reflection will improve persistence more than reward-based nudging.
Proposed methods
longitudinal cohort studies; wearable and workload telemetry; diary studies; organisational pilots; surveys; performance analysis; 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
workers; employers; occupational health teams; HR leaders; unions; insurers; clinicians; regulators; behavioural scientists; coaching professionals