Project Details
Layman's description
The PhD project centers around testing, improving, and applying an algorithm that detects stress from voice in a customer service setting with the aim to improve the well-being of service employees.
| Acronym | ISI |
|---|---|
| Status | Finished |
| Effective start/end date | 1/03/21 → 28/02/25 |
Collaborative partners
- DHL
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Research output
- 1 Article
-
Using AI to predict service agent stress from emotion patterns in service interactions
Bromuri, S., Henkel, A. P., Iren, D. & Urovi, V., 10 Sept 2021, In: Journal of Service Management. 32, 4, p. 581-611 31 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile3 Link opens in a new tab Citations (Web of Science)1006 Downloads (Pure)