Tech4Humanity AtlasGround ZeroCurrent ThemesFuture ResearchGalleryLive Q&ASearch

Human-AI Cognition & Performance / Human Performance and Wellbeing

SUB-0063

Fatigue Management

Definition

Fatigue Management 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

Fatigue Management 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

Which scheduling and task-allocation interventions reduce performance loss from fatigue?

Hypotheses

Shifting high-risk work away from predicted low-alertness periods will reduce errors more than generic break reminders.

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; sleep scientists; shift-work safety managers