|Thesis abstract: |
Digital multimedia information is more and more woven into the fabric of the ambient surrounding us, through large displays in indoor and outdoor public spaces, and is with us anywhere/anytime through small ¿wearable¿ devices like smartphones or tablets. At the same time, the quantity of information in the world is getting ever vaster ever more rapidly, and people are becoming overwhelmed by an increasingly wide offer of digital content. This arena opens challenging opportunities for original research and for innovative applications.
The purpose of the research is to develop methods, algorithms, and technologies that extend current results in the fields of human-computer interaction, recommender systems, ubiquitous computing, and social computing in order to facilitate the design and development of novel personalized interactive experiences in smart urban spaces (indoor and outdoor). Personalization will exploit the profile of individual users or groups that will be elicited using a variety of techniques (image recognition, behavioral historical data and social networks information) to expand our capability of interacting with public information delivered on personal and shared devices while reduce the drawbacks induced by overexposure to digital content.
Application domains for the research outcome are personalized advertising, e-shopping, e-tourism.