There is a current need to adapt content for conversational interfaces such as ChatGPT to ensure interaction, personalisation, and ethical AI responses. The NARRATE Project will create an innovative AI platform that can adapt to evolving AI technology and domain-specific market demands. It will explore the feasibility of specialised models designed for specific domain contexts and the integration of domain-specific knowledge with large-scale, general-purpose language models. NARRATE will employ narrative design to create and evaluate ethical, user-centred multimodal conversational interfaces tailored to various use cases in media, human resources, and engineering software services.
Within the NARRATE Project, PUHU will design and develop the Cultural Context Analyser Tool — an AI-driven system that interprets cultural, linguistic, and psychological patterns to better understand individuals’ values, motivations, and professional aspirations. This tool will support HR professionals in recognising how cultural background shapes communication styles, teamwork, and leadership potential. It will also empower employees to discover career paths aligned with their personal growth and self-actualisation. PUHU’s contribution focuses on developing AI models that “think with culture” — blending anthropology, cognitive science, and natural language processing to create context-aware, ethical, and human-centred AI systems.
Completed Contributions
OXILATE Project belongs to an EUREKA strategic ICT cluster programme (ITEA3), having project partners in four countries. OXILATE aims at enhancing intelligent services on complex systems, integrated in the customer’s operating context, reacting to the emerging customer needs for operationalised expertise in an agile manner. This will be achieved by the development and use of flexible data-driven tools, methods, processes, models and platforms fusing expert knowledge with data analytics on operational data.
SARWS Project: The dependence on road transport in our daily lives has grown at a phenomenal rate in recent years, in line with the problems arising from its use: permanent congestion on highways and urban centres, energy waste, CO2 emissions, mass with consequent impacton public health and high rates of accidents on the road networks. These challenges are even more pressing if we take into account the weather uncertainties and environmental conditions that may affect driving safety. Particularly, the factors such as heavy rain, snow, strong winds, can cause drifts, or even factors such as low light is challenging for drivers. Read more
The exponential growth of mobile traffic, associated with the emergence of new services and the expected explosion of the number of connected objects, will make effective monitoring, modelling, and overall control of network traffic difficult if not impossible. Hence, there is a need for powerful methods to solve the challenges faced in network design, deployment, and management. AI4GREEN is built around the need to build comprehensive, sophisticated and energy-efficient algorithms and solutions at both radio access and core networks, but also on data centers and storage, while keeping in mind the emergence of new architectures and the development of smart grids.
Interoperability, along with security and privacy of personal data, are the two most important limitations for the growth of the Internet of Things (IoT) market. Interoperability increases the complexity of service production processes and the cost of production. Lack of security and trust for the protection of privacy puts a barrier between service providers and consumers. To solve these issues, PARFAIT aims to develop a platform for protecting personal data in IoT applications and to reduce the complexity of integrating and deploying services in today’s IoT technology by providing interoperable software libraries, tools and SDK elements.
E-commerce has drastically transformed the retail industry. The SOLOMON project aims to improve the customer experience in bricks-and-mortar stores by defining a “shop operations and experience” platform that connects different technologies and information sources into seamless services for interaction with the retailers, shop personnel and consumers. In particular, SOLOMON emphasises the use of mobile device-mediated interactions in sensor-enriched physical environments for rich user experiences.
The PAPUD project is a 3-year ITEA3 project (call3) started in December 2017. This project includes 16 partners from 5 countries, Belgium, France, Romania, Spain and Turkey. This project is mainly a Deep learning project applied to five domains: e-commerce, call centres, e-government, human resources and data centres.
