Platforms & Digital Experiences

Our research at the intersection of information systems and human-computer interaction is dedicated to the development of human-centered, adaptive systems that foster productivity and well-being in everyday life – especially in the context of work.

The need for this approach is evident in the widespread issues caused by current technologies that fail to consider the needs of their users: virtual meeting systems lead to mental fatigue, the information overload of omnipresent communication tools in home office environments drives many to burnout, and social media harms self-esteem while fostering isolation.

A critical issue at the heart of these developments is technology's limited contextual sensitivity – it does not understand how we feel and cannot adjust to our frequently varying states. However, with the ubiquitous use of innovative wearable (bio-)sensors and rapid advances in machine learning (ML) and artificial intelligence (AI), we can realize significant change.

Thus, our research combines multimodal data streams (brain, heart, sweat, behavior, self-reports) with established models from psychology and neuroscience and studies them in work-related contexts. Projects include:

Emotions in Decision-Making (Lorenzo del Puppo)
Flow-adaptive Systems (Fabio Stano)
Mental fatigue prevention (Lukas Schick & Benjamin Gaube)
Human-AI Interaction (Thimo Schulz)
Neural Wearables (Michael Knierim)

We specialize in the use of innovative data collection and analysis methods. That includes the development and use of innovative biosensors (especially ear-EXG systems), ecologically valid scenarios (through lab-linking and field studies) and the latest advancements in machine learning (from generative models to CNNs and transfomers).

Reach out to us if you want to know more!