UMAP 2016 will explore, study and shape a broad range of dimensions faced by modern user adaptive systems, covering the following Key Areas chaired by leading researchers.

User Modelling for Recommender Systems

Area Chairs: Alexander Felfernig & Pasquale Lops

Semantic recommenders
Social recommenders
User Experience, Explanations, Trust, Control
Context-aware recommender systems
Conversational recommender systems
Implicit and explicit user feedback
Preference elicitation
Machine learning for recommender systems
Case studies of real-world implementations

Adaptive & Personalized Educational Systems

Area Chairs: Antonija Mitrovic & Kalina Yacef

Learner modeling
Intelligent tutoring systems
Adaptive and personalized learning support
Collaborative and group learning
Emerging environments such as MOOCs and educational games
Educational data mining and learning analytic modeling techniques
Learning at scale
Modeling affective, motivational, and metacognitive aspects of learning
Case studies of real-world implementations

Personalization in the Social Web & Crowdsourcing Era

Area Chairs: Alessandro Bozzon & Harith Alani

Data-driven approaches and big data techniques
Deep learning for personalization with social and crowd-generated data
Social network analysis
Modeling individuals, groups, and communities
Engagement & sustainability for personalization
User awareness and control
Privacy, perceived security, and trust
Adaptations based on personality, society, and culture
Mining of social media and crowd-generated data
Human computation and machine intelligence for personalization
Harnessing wisdom of the crowd for personalization
Case studies of real-world implementations

Adaptive, Intelligent, & Multimodal User Interfaces

Area Chairs: Julien Epps & Hatice Gunes

Multimodal user models
Natural interaction (speech, language, gestures)
Brain-computer interfaces
Adaptive information visualization
Adaptive hypermedia systems
Adaptive collaboration support
User modeling for special needs
Case studies of real-world implementations

Architectures, techniques & methodologies for UMAP

Area Chairs: Stephan Weibelzahl & Mihaela Cocea

Models of perception, action, cognition, and affect
Neurobiological and physiological models
User experience
Ongoing continuous modeling
Life wide modeling
Data-driven approaches
Non-standard database representations (networks, graphs)
Sensor networks
Handheld and mobile devices
Standards and specifications
Interoperability, semantics
Evaluation methodologies and metrics
Case studies of real-world implementations