This paper investigates the role of conversational AI in improving the quality of decision-making across different stages of the process. Drawing on an experimental study involving 113 students in Dutch higher education, participants engaged in a simulated business challenge using three approaches: no …

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 …

Presentatie van geaccepteerd artikel

Organizations and enterprises search for ways to exploit the vast amount of data that is produced by citizens, sensors, devices and administrative processes. Capitalizing on the produced data should be done responsibly by preventing, mitigating and managing undesired side effects such as violation of …

Introduction: Self-management for patients with chronic obstructive pulmonary disease (COPD) is essential in preventing relapse and rehospitalization. This study aimed to adapt a self-management-supporting digital monitoring system that was designed for COPD patients at home, to older patients with COPD …

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Abstract. The rapid increase in e-waste poses significant environmental challenges. Most disposed Electrical and Electronic Equipment (EEE) products, including computers, mobile phones, and household appliances, are currently recycled for materials rather than reused, due to perceived low residual value. This …

The intersection of financial technology (FinTech) and financial inclusion is increasingly recognized in both academic research and policy as a powerful tool for addressing global challenges and supporting sustainable development. Financial inclusion is essential for achieving the United Nations' sustainable …

This study explores how households interact with smart systems for energy usage, providing insights into the field's trends, themes and evolution through a bibliometric analysis of 547 relevant literature from 2015 to 2025. Our findings discover: (1) Research activity has grown over the past decade, …

It is now widely accepted that decisions made by AI systems must be explainable to their users. However, in practice, it often remains unclear how this explainability should be concretely implemented. This is especially important for nontechnical users, such as claims assessors at insurance companies, …