Human Digital Twins zijn een opkomend type Digital Twin dat in de gezondheidszorg wordt gebruikt om persoonlijke ondersteuning te bieden. In navolging van deze trend zijn we van plan om onze virtuele fitnesscoach, een coachingplatform dat gebruikmaakt van draagbare gegevens over fysieke activiteit, naar …

Het artikel onderzoekt de effectiviteit van geautomatiseerde clustering in gepersonaliseerde toepassingen op basis van gegevenskenmerken. Het evalueert drie clusteringalgoritmen met verschillende aantallen clusters en subsets van kenmerken. De studie vergelijkt de nauwkeurigheid van modellen in verschillende …

Many have suggested that AI-based interventions could enhance learning by personalization, improving teacher effectiveness, or by optimizing educational processes. However, they could also have unintended or unexpected side-effects, such as undermining learning by enabling procrastination, or reducing …

Purpose: Aftercare for curatively treated breast cancer patients includes support and information provision. As patients differ in their needs, personalization of aftercare is advocated, but clear guidelines on how to achieve personalization are currently missing. This study investigates patients’ preferences …

The global incidence of chronic diseases is rising, posing substantial social and economic challenges. These conditions necessitate effective long-term self-care, which can be supported by digital interventions using remote measurement technologies, like smartphones and wearables. This systematic review …

Bumping Elbows explores a workflow integrating 3D body scanning technology with robotic knitting to create personalized garments. Traditional 3D knitting development relies on 2D drafts and panels, rooted in industrial flatbed knitting practices. Our approach leverages accurate topology measurements …

This paper presents a case study about the responsible design of a recommender system of a prominent Dutch Public Service Media (PSM) organization, combining personalized content recommendations to users while aligning with the organization’s overarching mission of fostering diversity. A conceptual framework …

Maintaining the child-robot relationship after a significant break, such as a holiday, is an important step for developing sustainable social robots for education. We ran a four-session user study (n = 113 children) that included a nine-month break between the third and fourth session. During the study, …

Post-training quantization reduces the computational demand of Large Language Models (LLMs) but can weaken some of their capabilities. Since LLM abilities emerge with scale, smaller LLMs are more sensitive to quantization. In this paper, we explore how quantization affects smaller LLMs’ ability to perform …

Background: Although physical activity (PA) has positive effects on health and well-being, physical inactivity is a worldwide problem. Mobile health interventions have been shown to be effective in promoting PA. Personalizing persuasive strategies improves intervention success and can be conducted using …