Enterprises face increasingly complex cyber risks that threaten their continuity and operational stability. This study reveals that effectively integrating Cyber Security (CS) and Enterprise Architecture (EA) can significantly enhance Cyber Risk Management (CRM) by enabling a more holistic, proactive, …

De Monitor Jongeren en Nieuws is een grootschalig vijfjaarlijks onderzoek naar de nieuwsinteresse, het nieuwsmediagebruik en de nieuwsvoorkeuren van Nederlandse jongeren in de leeftijd van 15 t/m 24 jaar. In dit rapport worden de resultaten gepresenteerd van het onderdeel Nieuwsinteresse van de 4e editie …

Machine learning models use high dimensional feature spaces to map their inputs to the corresponding class labels. However, these features often do not have a one-to-one correspondence with physical concepts understandable by humans, which hinders the ability to provide a meaningful explanation for the …

De digitalisering van de gezondheidszorg is door de pandemie en de snelle ontwikkeling van talige AI waarschijnlijk behoorlijk versneld. De geestelijke gezondheidszorg staat wereldwijd onder toenemende druk door enerzijds een groeiende vraag naar therapieën en anderzijds een tekort aan zorgverleners. …

Humanlike virtual influencers (HVIs) mimic human influencers (HIs), but how do consumers perceive them, and how does this affect persuasion knowledge? This experiment examines how consumers differentiate HVIs from HIs based on two mental states – intentions and emotions– and how differences in mind perception …

In today’s digital era, small and medium-sized enterprises (SMEs) are facing more cyber threats as they adopt new technologies. From data breaches to ransomware and phishing attacks, these risks are becoming more frequent and advanced. Unlike large companies, SMEs often don’t have the budget or cybersecurity …

Abstract: The Problem-Solution Chain (PSC) models proposed in this exploratory paper are conceived as describing chains of problem-solution links, thereby modelling specific multi-link ‘problem-solving’ paths, typically (but not exclusively) from a high-level business problem to lower-level functional …

De maakindustrie is al volop bezig met meten voor processturing en kwaliteitscontrole, maar er is nog veel winst te behalen. Door AI in te zetten voor diepgaande data-analyse, kunnen processen verder worden geoptimaliseerd. Toch wordt het volledige potentieel van AI nog nauwelijks benut, de uitkomst …

Research into automatic text simplification aims to promote access to information for all members of society. To facilitate generalizability, simplification research often abstracts away from specific use cases, and targets a prototypical reader and an underspecified content creator. In this paper, we …

Explainable Artificial Intelligence (XAI) aims to provide insights into the inner workings and the outputs of AI systems. Recently, there’s been growing recognition that explainability is inherently human-centric, tied to how people perceive explanations. Despite this, there is no consensus in the research …