Predicting Individual Well-Being in Teamwork Contexts Based on Speech Features
Current methods for assessing individual well-being in team collaboration at the workplace often rely on manually collected surveys. This limits continuous real-world data collection and proactive measures to improve team member workplace satisfaction. We propose a method to automatically derive soc...
| Main Authors: | , , , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Published: |
MDPI AG
2024
|
| Online Access: | https://hdl.handle.net/1721.1/154293 |