Research projects

It is well-known that the use of XR leads to better student outcomes and that the technology can better support the learning process. Thanks to XR, students can safely practice situations that would otherwise be difficult or impossible due to financial or safety reasons.         

The D4E1 Lab (Design for Everyone) within the Industrial Design Center (IDC) is one of the pioneers in human-centered and participatory healthcare innovation in Flanders, with successful projects like Makerhealth and Makeability.                                                   

Many schools have the ambition to implement Virtual Reality (VR), Augmented Reality (AR), or overarching eXtended Reality (XR) in their offerings. Especially for students for whom skill training is a core task, XR applications can add value.                                       

XR Factor aims to survey Flemish secondary schools with dual finality and/or labor market finality that have diverse XR expertise. To obtain a comprehensive overview, we also engage in conversations with external stakeholders involved in XR implementations in schools.            

We collaborate with palliative care specialist nurses to develop escape games that will later be made freely available in the sector. These games offer an innovative way to interact, test problem-solving abilities, and face challenges.                                             

Generative AI is currently experiencing a significant surge. AI enthusiasts see endless opportunities, while doomsayers predict the downfall of creative professions and disruption in education. This research focuses on the role of AI applications in the creative sector.          

This research explores two interconnected paths related to Artificial Intelligence (AI): interpreting results to provide better/individual guidance for students and investigating which AI applications could be beneficial for education.                                             

Can AI models engage in realistic conversations with people and perform complex tasks (behaving as a specific persona, such as a client in a psychologist's session)? And how can we combine generative AI tools to create a credible embodied conversational agent?