Ubiquitous Computing (UC), as envisioned by Weiser in 1991, has recently evolved to a more general paradigm known as Ambient Intelligence (AmI) represents a new generation of user-centred computing environments and systems. These solutions aim to find new ways to obtain a better integration of information technology in everyday life devices and activities.

AmI environments are integrated by several autonomous computational devices from modern life ranging from consumer electronics to mobile phones. Ideally, people in an AmI environment will not notice these devices, however, they will benefit from the services these solutions provide. Such devices are aware of the people present in such environments and can react to their gestures, actions, and context. Recently the interest in AmI environments has grown considerably due to the new challenges posed by society, demanding highly innovative services, such as vehicular ad hoc networks (VANET), Ambient Assisted Living (AAL), e-Health, Internet of Things, Home Automation, amongst others. The focus of this edition of the UCAmI Conference will be "Technologies in the Creation of Sustainable Ambient Intelligence Solutions".

AmI FOR HEALTH & A3L (AMBIENT, ACTIVE & ASSISTED LIVING) (Topics)
The role of AI and machine learning in promoting A3L
The role of Social Determinants of Health in Tech-Driven Care
Smart homes and mobile ecosystems to promote health and independent living
User-centered design and user experience in health environments.
Evaluation and validation of ambient assisted living systems and applications
Synthetic Data for A3L: Collection, Cleaning, Processing, Distribution, and Storage
Activity recognition and behavior analysis in A3L environments
Ambient assisted living and chronic disease management
Business models and commercialization of ambient assisted living products and services
Improving healthcare using medical digital twin technology
Digital interventions for depression, mental health issues and quality of life improvement
Education, training, and e-Learning systems in Health domains
Mobile, affective, and multimodal interfaces for A3L
Preventive care in A3L environments
INTERNET OF EVERYTHING (IOT, PEOPLE & PROCESSES) AND SENSORS (Topics)
IoE (IoT included) enabling technologies, techniques and methods
IoE application and services
Current and future trends in IoE
IoE societal impacts and Ethical implications of IoE
IoE interoperability, integration and performance
IoE experimental results and deployment scenarios
Human factors in IoE
Applications of hybrid sensor networks
Design and evaluation of interfaces for smart devices in the IoT ecosystem
Personalization of interactions in IoT
Robotic integration in Smart Environments
AI for the embedded IoT/IoE and Edge computing
(AI)2 - ARTIFICIAL INTELLIGENCE FOR AMBIENT INTELLIGENCE (Topics)
Transparency and Explainability of AI
AI & Machine learning for sustainable development goals
Resource optimization and conservation in ambient intelligence using AI
AI-powered advanced human interaction
AI assisted interaction for disabled people
Emotion recognition in ambient intelligence
Signal analysis through neural networks
Deployable deep learning models in low resources systems
Synthetic data generation for interaction research
Special Sessions
ROBOTS AS AGENTS IN INTELLIGENT HEALTHCARE ENVIRONMENTS (Topics)
Co-design and co-creation of robots for health
User experience of robots in health care environments
Ethical, legal and social issues in health care robot implementation
Robots for health in special populations: pediatrics
Robots for health in special populations: older adults
Sensing solutions for health care environments
Affect and emotion modeling in socially assistive robots
Robots for health care data collection
Generative AI implementation in social robots for health
Care provider perspectives on social robots in health environments
Robot integration with other health care solutions
Human–robot interaction in clinical settings
Evaluation frameworks for healthcare robotics
Deployment and scalability of healthcare robots