Public health, Organizational Psychology, National Defence College, Nigeria.
GSC Advanced Research and Reviews, 2023, 17(03), 237-252
Article DOI: 10.30574/gscarr.2023.17.3.0497
Received on 12 October 2023; revised on 21 December 2023; accepted on 28 December 2023
Burnout has become one of the most significant occupational health challenges of the modern era, affecting healthcare professionals, public health workers, managers, and other knowledge-sector employees whose work depends on sustained cognitive performance. Recognized by the World Health Organization as an occupational phenomenon, burnout is associated with energy depletion, mental distancing from work, and reduced professional efficacy. Although existing interventions such as stress management programs, wellness applications, and workplace mental health initiatives provide partial support, many remain reactive in orientation and focus primarily on helping workers cope after cognitive overload has already accumulated. A key conceptual gap in the burnout literature is the limited attention given to energy variability and cognitive load dynamics as upstream determinants of burnout onset. Contemporary work systems typically organize tasks according to deadlines, availability, and institutional routine rather than the biological realities of fluctuating human energy capacity. As a result, high-demand cognitive tasks are often imposed during periods of reduced alertness and limited recovery, amplifying strain and increasing the long-term risk of burnout. This paper proposes the concept of energy-aware productivity technology as a preventive design framework for workplace health. Defined as digital tools that align task scheduling, cognitive demand, and recovery intervals with dynamic energy patterns, this framework draws on cognitive load theory, chronobiology, and occupational health evidence to argue for a more biologically sustainable model of work design. The implications extend across public health, organizational practice, and health technology development. Energy-aware productivity technologies may offer a scalable upstream strategy for improving cognitive performance, supporting mental health, and advancing more sustainable workplace systems.
Energy-Aware Technology; Cognitive Load; Occupational Burnout; Workplace Stress; Mental Health; Chronobiology; Task Scheduling; Productivity Technology; Occupational Health; Workforce Sustainability
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Arinze Agu. Designing energy-aware productivity technologies to improve cognitive performance, mental health, and workplace sustainability outcomes. GSC Advanced Research and Reviews, 2023, 17(03), 237-252. Article DOI: https://doi.org/10.30574/gscarr.2023.17.3.0497.