Herramientas para el monitoreo emocional laboral: Análisis bibliométrico y revisión de artefactos tecnológicos (2017–2026)
Year: 2026
Type: article
Study design: Systematic Review
Abstract: 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.
Institution: Corporación Universitaria Minuto de Dios
Language: Spanish
Topic: Emotion and Mood Recognition
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7225524143