Projects

SC_INCOW – Influence of Cognitive Workload in Intent Recognition during Robot-Assisted Surgery

Partners Zeiss group

RZZKI_SL-RLP-2 – Regionales Zukunftszentren Künstliche Intelligenz Saarland und Rheinland-Pfalz (Folgeprogramm)

Future centers (KI); support of small and medium-sized enterprises and employees in the exemplary and participatory testing of new technologies, such …

MITHOS – Mixed-Reality Interactive Training for Handling Heterogeneity and Conflict Situations in Schools

BMBF-Research programme in the frame of the research focus on „ Interactive systems in virtual and real spaces – Innovative technologies for a digital …

ChiM – Chatbot in the Museum

Until today, audio or media guides accompany exhibition visits and offer explanations for museum objects. The CHIM project aims to develop a learning, …

MindBot – Mental Health promotion of cobot Workers in Industry 4.0

MindBot aims at identifying methods and implementing solutions for promoting good mental health in the emerging industry 4.0 within the specific …

KI-Campus – AI Campus – The Learning Platform for Artificial Intelligence

At the center of the three-year project is the prototypical development of a digital learning platform specializing in the field of artificial …

GeAR – Gelingensbedingungen und Grundsatzfragen von Augmented Reality in experimentellen Lehr-Lernszenarien

In Augmented Reality the real world is extended by additional information. Already common areas of application are navigation or the transmission of …

EmmA – Emotional mobile avatar as coaching assistant in psychological support

The aim of the EmmA project is to develop a mobile assistance system that can be used to assess the risk of psychological stress at the workplace and …

ViRUX – Virtual Reality to Improve the User Experience in the Exploration of Process Models through Haptic Feedback

The software campus project ViRUX - Virtual Reality to Improve the User Experience in the Exploration of Process Models through Haptic Feedback …

KOALA – Context-Adaptations for E-Learning Platforms by Analyzing the User‘s Cognitive State

E-learning platforms allow users to learn at their own pace and at any time and any place. The constant availability of mobile internet and the …