XAI-FinCrime
XAI-FinCrime aims to transform financial crime prevention and detection processes by reducing false positives and inefficiencies. The project leverages machine learning, generative …
XAI-FinCrime aims to transform financial crime prevention and detection processes by reducing false positives and inefficiencies. The project leverages machine learning, generative …
Mental health is a vital part of our overall well-being, especially during early adolescence, a time of rapid growth and emotional development. This project explores how wearable …
XAI-PAC investigates how wearable devices and AI can improve affective computing while preserving privacy and explainability. The project focuses on factors related to personal …
TRUST-ME studies the relationship between productivity, job satisfaction, and well-being in modern workplaces using advanced sensing technology, AI algorithms, and …
SmartCHANGE develops trustworthy AI-based decision-support tools that help health professionals and citizens reduce long-term risk of non-communicable diseases in children and …
PROSELF investigated how mobile and wearable technology can help knowledge workers understand productivity, self-reflect on work activities and well-being, and improve performance …
BASE developed privacy-aware methods for understanding human behavior through activity traces such as GPS and smartphone app launches, using federated machine learning approaches.
This COST action developed a European network focused on collaborative economy models, platforms, practices, and their social and technological implications.
This project studied personalization and privacy needs for public displays through deployable applications and mobile personalization tools.
PersonAAL aimed to help older adults live longer in their home environment by supporting autonomy and daily activities through intelligent, intuitive web applications.
SHARING21 studied practices of sharing personal content and end-user concerns in order to map the design space for interfaces that help people stay in control of shared data in IoT …
CYBERPARKS studied opportunities and risks of information and communication technologies in public spaces, combining green experience with digital engagement.
RECALL investigated memory augmentation by combining capture technology, information retrieval, and memory psychology to support acquisition, retention, and attenuation of personal …
APD explored attentive displays that can sense viewer context and adapt display behavior in crowded public settings.
SAPIENT examined criteria for effective, scalable, and privacy-respecting smart surveillance technologies.
PD-NET investigated foundations for large-scale networks of pervasive public displays and associated sensors.
PALS designed, implemented, and evaluated decentralized methods and tools for privacy-aware sharing of location data with friends, strangers, and service operators.
LiSS studied the consequences and impacts of living and working in the surveillance age.