Research projects

This project aims to introduce 'Oral Literature for Development' (OL4D) as a new paradigm, based on the belief that culture and creativity are central to the development of all people.                                                                                                

How has the Flemish coastal landscape evolved over the past 5000 years, both at sea and on land? Which areas were flooded and eroded during storm surges? What archaeological traces of past habitation and exploitation are preserved on land and in the sea?                          

COVID-19 has demonstrated that utilizing digital communication tools, whether alone or in combination with face-to-face interactions, can greatly enhance the experiences of citizens, clients, and patients in their interactions with service providers, helpers, and healthcare profs

The MCT/STAR lab research group of Howest will subcontract with Be-Mobile to investigate and develop possible Android and iOS smartphone applications aimed at ergonomic use by pedestrians and cyclists (active road users).                                                           

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?                    

To improve effectively, companies must be able to assess their situation and select the right technologies. Both aspects do not appear to be evident for SMEs. This project aims to build a research infrastructure to set up demonstrations/validations.                               

Creating digital content (marketing campaigns, websites, apps and VR/AR applications) requires a thorough understanding of end-user experiences and responses. Traditional methods such as surveys provide valuable insights, but often miss the unconscious responses.