Human-AI Cognition & Performance / Human Performance and Wellbeing
SUB-0060Burnout Prevention
Definition
Burnout Prevention 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
Burnout Prevention 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 early signals and interventions prevent chronic overload from becoming burnout?
Hypotheses
Work-pattern changes and loss of recovery quality will predict burnout risk earlier than self-reported exhaustion.
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; psychosocial safety regulators; employee assistance providers