MEMBER
Julia Seitz
TEAM
Mädche / Ebner-Priemer
DISCIPLINES
Information Systems PsychologyUSER-ADAPTIVE COLLABORATION SYSTEMS
In this project, we investigate the design of user-adaptive collaboration systems that aim to reduce the cognitive load and fatigue of virtual team members. We will first leverage multimodal biosignal data as well as supervised machine learning to train a classifier that is able to recognize corresponding states of virtual team members. Second, different adaptation strategies are designed and their impact on the virtual team member’s mental load and fatigue as well as individual and team performance will be explored through experimental studies.