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 …

Purpose This study aims to investigate the impact of Generative AI (GAI)-produced marketing communication on consumer trust and behavioural intentions, particularly purchase intention. This study explores how GAI’s anthropomorphism and transparency influence these outcomes. The findings aim to expand …

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 …

As artificial intelligence (AI) reshapes hiring, organizations increasingly rely on AI-enhanced selection methods such as chatbot-led interviews and algorithmic resume screening. While AI offers efficiency and scalability, concerns persist regarding fairness, transparency, and trust. This qualitative …

The integration of big data and artificial intelligence into modern systems has profoundly influenced societal structures causing significant ethical challenges. This paper investigates the role of professional oaths in mitigating these threats by focusing on Dutch data professionals. Through a two-phase …

Trust in AI is crucial for effective and responsible use in high-stakes sectors like healthcare and finance. One of the most commonly used techniques to mitigate mistrust in AI and even increase trust is the use of Explainable AI models, which enables human understanding of certain decisions made by …

This thesis explores how organizations can build stronger trust and transparency in AI-driven marketing. It examines customer concerns around data use, personalization, and algorithmic decision-making, and identifies practices that make AI more understandable, fair, and responsible. Through interviews …

Abstract: AI tools in radiology are revolutionising the diagnosis, evaluation, and management of patients. However, there is a major gap between the large number of developed AI tools and those translated into daily clinical practice, which can be primarily attributed to limited usefulness and trust …

In this paper, we explore the design of web-based advice robots to enhance users' confidence in acting upon the provided advice. Drawing from research on algorithm acceptance and explainable AI, we hypothesise four design principles that may encourage interactivity and exploration, thus fostering users' …

In this paper, we explore the design of web-based advice robots to enhance users' confidence in acting upon the provided advice. Drawing from research on algorithm acceptance and explainable AI, we hypothesise four design principles that may encourage interactivity and exploration, thus fostering users' …