Tools for Workplace Emotional Monitoring: Bibliometric Analysis and Review of Technological Artifacts (2017–2026)
Keywords:
Occupational Health, Mental Health, Occupational Exposure, Affect, Information Technology, Systematic ReviewAbstract
Introduction: Traditional methods of workplace psychosocial assessment (self-reports and retrospective surveys) are insufficient to capture dynamic and invisible emotional fluctuations in real time, introducing subjective biases.
Objective: To characterize global scientific production and systematize technologies oriented toward workplace emotional monitoring and mental health in the 2017–2026 period.
Methods: A bibliometric and systematic review study structured under PRISMA guidelines, where metadata were retrieved from Scopus using a Boolean equation and descriptive analysis and network modeling were performed with VOSviewer, complemented by an in-depth thematic synthesis of empirical artifacts applied to the workplace context.
Results: Production exhibits accelerated growth from 2024 with a peak in 2026, where the computer science and engineering domain accounts for 48.57% of the areas; additionally, four technological categories were identified: biometric wearable sensors, multimodal emotion recognition systems, mHealth applications, and adaptive intervention environments.
Conclusions: A computational approach predominates over an occupational approach, with scarce Latin American presence; therefore, effective implementation requires balancing algorithmic precision with ethical safeguards against coercive surveillance from the design stage.
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