Personal Healthcare Agents (PHA) will change people’s lives and revolutionize the way they manage their wellbeing and health. They will be able to sense the environment , the personal and social behavior , as well as the human organ systems. They will be elaborating, interpreting, summarizing and making sense of these signals and share it with you as well as your caregivers. They will be playing a key role in providing evidence for personalized therapies and in...

Conversational Agents, Language Understanding Systems, Affective Computing and more. The SIS Lab realizes intelligent and conversational machine prototypes. In this selection we give an overview of the research challenges and applications.

A group of students from Signals and Interactive Systems Lab at University of Trento ( Italy ), was chosen as one of the 12 sponsored university teams all over the world to participate to the Alexa prize, a one-year long competition sponsored by Amazon to advance conversational Artificial Intelligence. The aim of the competition is to create a social computer (“bot”) able to have coherent and engaging conversations with humans about popular topics such as politics...

Making Sense of Human-Human Conversation Data Conversational interaction is the most natural and persistent paradigm for business relations with customers. In contact centres millions of calls are handled daily. On social media platforms millions of blog posts are exchanged amongst users. Can we make sense of such conversations and help create assets and value for private and public organizations’ decision makers? And indeed for anyone interested in conversational...

A team of researchers from the University of Trento (Trento, Italy) has been working with IBM to advance the state of the art in teaching computers to conversationally interact with humans. The Trento group is led by Professor Giuseppe Riccardi and Professor Alessandro Moschitti. Their work furthers the ability of computers to understand and use natural human speech. Riccardi says the team is “investigating how to interpret natural language queries in terms that...