During and in the aftermath of the COVID-19 crisis older people presented significantly reduced practice of physical activity and social contact and were exposed to several psychological stress factors that negatively affected physical and mental health. To change this for the better, the Erasmus+ project …

Background and aim. Research highlights that poor workspace variety, poor zoning, and limited personalization can reduce comfort, privacy, and focus in hybrid environments. This study aims to anticipate these challenges and to develop and evaluate participatory design interventions for user-centred, …

Background and aim. To improve the indoor environmental quality (IEQ) in schools, the Dutch government issued a program of requirements (PoR) “Fresh Schools”. This study aims to determine the effect of adopting class A (high IEQ) or B (moderate IEQ) of this PoR on students’ comfort and performance. Requirements …

Background and Aim. Many patients experience anxiety during hospitalization. Hospital environments can support patients with the mitigation of anxiety. The aim of this study was to gain a better understanding of which design elements can affect sense of control, social support, and positive distraction, …

This presentation explores AI literacy as a critical and situated dimension of Artistic Research (AR), drawing from recent investigation conducted with Master’s students in a discursive artistic AI course at Frank Mohr Institute. Using a structured questionnaire as both a pedagogical and research tool, …

Workshop tijdens het KKNN-symposium. In samenwerking met Landschapsbeheer Groningen.

We are pleased to present this Book of Proceedings following the international conference “Innovating Health & Daily Life through Living Labs”, co-organised by the Dutch Empathic Environment Living Labs (DEEL Academy) and the European Network of Living Labs (ENoLL). The two-day event took place in May …

Posterpresentatie van het onderzoek met als doel werven van deelnemers

In het snel evoluerende domein van machine learning is het cruciaal om het meest geschikte model voor een bepaalde dataset te selecteren. Inzicht in de kenmerken van een dataset kan een aanzienlijke invloed hebben op de resultaten van voorspellende modellen, waardoor de studie van de eigenschappen van …