The evolution of social semantic environments and content personalization, along with the adoption of context-aware techniques, the spread of handheld devices together with always connected IoTs, and of cloud computing are deeply changing the way people are using the Web and digital devices for a variety of purposes. This change is also pushing application providers to offer a new wave of services. Users want to freely access content as they choose, anytime and anywhere, according to their personal goals, preferences or special needs. For instance, we are moving towards educational models, where people build their competences and skills individually, such as in massive open online courses. People are now accustomed to mobile devices and require applications that fit and exploit this modality of interaction even more.
All of these applications require a deep understanding of content, users, devices and situations where interaction happens. Semantics covers a significant role toward these goals.
At the same time, employing such sophisticated systems requires rigorous evaluation right from the beginning. Using one single evaluation method is insufficient to comprehensively assess all the important aspects of user experience. Employing a multi-method evaluation integrating a number of methods (e.g., a combination of think-aloud and survey with open-ended questions or a combination of offline prediction simulation with an open dataset and survey with closed- and open-ended questions) provides a more integrated and richer picture of user experience and quality drivers.
The objective of the Intelligent User-Adapted Interfaces: Design and Multi-Modal Evaluation workshop is to bring together experts and practitioners of user modeling, adaptive systems, recommenders and artificial Intelligence together with domain experts and ubiquitous computing researchers, in order to shape the next generation of ubiquitous, smart and adaptive application services.
