Personalized human computer interaction Personalized and adaptive systems employ user models to adapt content services interaction or navigation to individual users’ needs. User models can be inferred from implicitly observed information such as the user’s interaction history or current location or from explicitly entered information such as user profile data or ratings. Applications of personalization include item recommendation location based services learning assistance and the tailored selection of interaction modalities. With the transition from desktop computers to mobile devices and ubiquitous environments the need for adapting to changing contexts is even more important. However this also poses new challenges concerning privacy issues user control transparency and explainability. In addition user experience and other human factors are becoming increasingly important. This book describes foundations of user modeling discusses user interaction as a basis for adaptivity and showcases several personalization approaches in a variety of domains including music recommendation tourism and accessible user interfaces.