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Interpersonal Stress Intervention with AI
Henkel, Alex
(PI)
Bromuri, Stefano
(Co-supervisor)
Department of Organisation
Research Line Resilience (part of LIRS program)
Research Line Innovation (part of LIRS program)
Department of Computer Science
Overview
Research Output
(1)
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
Not started
Effective start/end date
1/03/21
→
28/02/25
View all
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Research Output
Research Output per year
2020
2020
1
Article
Research Output per year
Research Output per year
Using AI to predict service agent stress from emotion patterns in service interactions
Bromuri, S.
,
Henkel, A. P.
,
Iren, D.
& Urovi, V.,
29 Sep 2020
,
In:
Journal of Service Management.
31 p.
Research output
:
Contribution to journal
›
Article
›
Academic
›
peer-review
Open Access
artificial intelligence
Artificial Intelligence
Deep Learning
services
Emotion