Human-AI Cognition & Performance / Human Performance and Wellbeing
SUB-0063Fatigue 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