Mental Wellbeing Management and Productivity Boosting in the Workplace

Project: Business Finland project

Project Details

Description

ITEA3 project with focus on the detection and mitigation of poor mental health conditions, such as work stress and burnout, which have not yet resulted in a diagnosed mental health disorder. The project aims at a major breakthrough in the development of software-intensive applications that combine multiple heterogeneous environmental and/or wearable data sources into actionable information for improving employees' wellbeing, engagement and performance. Mad@Work will develop truly unobtrusive, privacy-safe, appealing solutions, smoothly integrated into the work environment and appropriate for long-term use in diverse real-life settings.

Layman's description

Practical tools and methods to identify measure, and make work stress accumulation visible at the individual level, team level, and organisation level, while ensuring privacy and retaining data ownership with the employee.

Key findings

Research on automated stress identification from computer usage with virtual sensors shows that stress does manifest in the data. However, stress symptoms are also very personal thus a generic model is not a viable approach and solution must have algorithms that can learn individual patterns (semi-supervised learning)
AcronymMad@Work
StatusActive
Effective start/end date1/01/2030/06/23

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  • SDG 8 - Decent Work and Economic Growth

Funding category

  • EU-H2020

Keywords

  • Stress
  • Knowledge work
  • Artificial Intelligence
  • Cognitive Ergonomics
  • Organisational management / development
  • Support systems

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