The demand for assistive technology is expected to rise alongside the increasing care needs of aging populations. Ambient intelligence, particularly context awareness, offers potential benefits in addressing challenges faced by the healthcare system. In dementia care, context awareness can facilitate …

Human-centered AI must confront tensions between mutually incompatible fairness definitions and fairness requirements of algorithmic decision-making (ADM) systems. To investigate how people perceive this trade-off and how this perception can guide engineering requirements, we determine the underlying …

This chapter examines how Australian businesses operating in Singapore navigate digital transformation within the context of international operations. As digital technologies reshape the global business landscape, companies are increasingly leveraging tools such as cloud computing, artificial intelligence, …

Value Sensitive Design (VSD) offers a principled framework for embedding human values into technology, yet its practical application remains challenging due to unclear demarcations between its conceptual, empirical, and technical investigation types. This paper addresses the gap between VSD theory and …

As the field of Hybrid Human-Artificial Intelligence (HHAI) grows, various efforts have emerged to define its core terminology. This poster presents initial results from an interactive, international workshop aimed at consolidating these efforts into a cohesive, unified vocabulary. We present the key …

Background/Objectives: Adolescents and young adults (AYAs) with cancer often begin their careers later in life and are at risk of negative work-related outcomes. Research into and tailored support programs for AYAs diagnosed during higher education remain limited. An improved understanding of AYAs' experiences …

Circular, biobased, and modular construction practices are gaining traction as cities seek to reduce the environmental impact of the built environment. However, little is known about how these strategies affect construction logistics and their associated emissions. We develop an agent-based model to …

Within this session 2 presentation about the THCS STARS-Health project en group discussion: Session 2 – Strengthening Primary Care: lesson learned and open challenges for the health and care systemsThis session will examine the evolving role of primary care as a cornerstone of integrated and people-centred …

Traditional non-linear models offer Dutch municipalities limited insight into the social behaviour of local stakeholders, even though this behaviour largely determines the success of policies in complex sociotechnical systems. This study addresses the following research question: “How can an agent-based …

Food loss and waste (FLW) remains a critical global challenge, particularly in the food and beverage (F&B) sector, where small and medium-sized enterprises (SMEs) operate under tight margins and fragmented supply chains. This study investigates how F&B SMEs in the Netherlands address sustainability (including …